It is required to scrape a job-board website to extract the most required skills for Data Scientist. I decided to scrape ai-jobs which is a job board that specifically serves the artificial intelligence (AI) and data science community. Whether you’re looking for something permanent or a contract role, there’s an option for everyone. The jobs listed on the website can also be found on their
ai-jobs uses javascript language to render the HTML page using asynchronous request. If you use an asynchronous XMLHttpRequest, you receive a callback when the data has been received. This lets the browser continue to work as normal while your request is being handled.
rvest and httr doesn’t work for that site, so I had to write javascript code insode of R to be able to scrape the page.I wrote the JavaScript code to a js file called scrape.js using Phantomjs..I used PhantomJS to convert the website into HTML. I wrapped this in a system() call inside R Studio.
writeLines("const url = 'https://ai-jobs.net/';
const page = new WebPage();
const fs = require('fs');
page.open(url, function (status) {
just_wait();
});
function just_wait() {
setTimeout(function() {
fs.write('scrape_ai.html', page.content, 'w');
phantom.exit();
}, 2500);
}
", con = "scrape_ai.js")
js_scrape <- function(url = "https://ai-jobs.net/",
js_path = "scrape_ai.js",
phantompath = "/usr/local/bin/phantomjs"){
lines <- readLines(js_path)
lines[1] <- paste0("const url ='", url ,"';")
writeLines(lines, js_path)
command = paste(phantompath, js_path, sep = " ")
system(command)
}
js_scrape()
## now we can read the newly html with the job summary from the new html after converting from js
summary_html <- read_html("scrape_ai.html")
summary_html## {html_document}
## <html lang="en-US" class="">
## [1] <head>\n<meta http-equiv="Content-Type" content="text/html; charset= ...
## [2] <body class="home page-template-default page page-id-2 wp-custom-log ...I constructed a matrix as a data frame structured in 5 columns to hold the pulled data.
#position name
get_position <- summary_html %>%
html_nodes("div") %>%
html_nodes("ul") %>%
html_nodes(".position") %>%
html_text() %>%
# get only position names
gsub("[\n\t]", "", .) %>%
stringr::str_trim() %>%
strsplit(" ") %>%
unlist()
get_position## [1] "Data EngineerMongoDB"
## [2] "Machine Learning EngineerMedium"
## [3] "Senior Data EngineerManulife"
## [4] "Research ScientistAllen Institute for Artificial Intelligence (AI2)"
## [5] "Data Scientist – Analytics, ForecastingAirbnb"
## [6] "Senior Data ScientistMailchimp Your business was born for this."
## [7] "Data ScientistMailchimp Your business was born for this."
## [8] "Data Scientist (NLP)Manulife"
## [9] "Data Science ManagerMozilla A non-profit with one mission: defend the free and open web"
## [10] "Machine Learning Intern – Pocket (Summer 2020)Mozilla A non-profit with one mission: defend the free and open web"
## [11] "Applied Research Scientist, Machine LearningMedium"
## [12] "Research Scientist / Chercheur en sciencesDeepMind"
## [13] "Intern Data AnalystDeezer"
## [14] "Director, Data ServicesJFF (Jobs for the Future)"
## [15] "Deep Learning Intern – Content & Technology (Winter/Spring 2020)NVIDIA"
## [16] "Machine Learning Infrastructure Engineer, AutopilotTesla"
## [17] "Machine Learning Scientist, AutopilotTesla"
## [18] "PhD – Bayesian Inference with GANsRobert Bosch"
## [19] "Machine Learning EngineerMailchimp Your business was born for this."
## [20] "Data Science InternXPO Logistics, Inc."
## [21] "Senior Research ScientistAllen Institute for Artificial Intelligence (AI2)"
## [22] "Machine Learning Intern (Summer 2020)Mozilla A non-profit with one mission: defend the free and open web"
## [23] "Research Staff Member AI / Machine learningIBM"
## [24] "Machine Learning Research ScientistRobert Bosch"
## [25] "Scientific Researcher (f/m/d) on Artificial Intelligence for Autonomous Perception – AI Residency ProgramSiemens"
## [26] "Research Engineer – Machine Learning for Autonomous Driving BehaviorRobert Bosch"
## [27] "Machine Learning Research ScientistButterfly Network"
## [28] "Senior Data EngineerManulife"
## [29] "Data Scientist, Machine Learning and AIBell Canada"
## [30] "Rendering & Machine Learning Research Intern – GPUNVIDIA"
## [31] "Senior Research Scientist, Deep Learning – AINVIDIA"
## [32] "Data Scientist / EngineerDeezer"
## [33] "Data Scientist, PrincipalXPO Logistics, Inc."
## [34] "Senior Data Scientist / Artificial Intelligence / Machine Learning / AI/ML ScientistThe Vanguard Group, Inc."
## [35] "Research Scientist, Medical ImagingDeepMind"
## [36] "Machine Learning Research InternRobert Bosch"
## [37] "Senior Artificial Intelligence EngineerKing"
## [38] "Data Scientist – Strategic PartnershipsKing"
## [39] "Senior Audio Machine Learning EngineerLogitech"
## [40] "Data Science Intern (Summer 2020)Mozilla A non-profit with one mission: defend the free and open web"
## [41] "Senior Data ScientistXPO Logistics, Inc."
## [42] "Machine Learning Engineering ManagerDuolingo"
## [43] "Internship (including Master thesis) in Improved Automated Analysis and Display of Flow Imaging data (from October/November, 6 months)Roche"
## [44] "Data Scientist – Inference, TrustAirbnb"
## [45] "Data Science Manager, AlgorithmsAirbnb"
## [46] "2020 Machine Learning Internship – Amazon SearchAmazon.com"
## [47] "Data ScientistNIWA"
## [48] "Data ScientistMedopad"
## [49] "Machine Learning EngineerThe Vanguard Group, Inc."
## [50] "Lead Data ScientistCenturylink"
## [51] "Sr Data ScientistCenturylink"
## [52] "Lead Data ScientistCenturylink"
## [53] "Sr Lead Data ScientistCenturylink"
## [54] "Senior Manager – Machine Learning AnalyticsVodafone"
## [55] "Machine Learning ExpertTaboola"
## [56] "Research Scientist (m/f/d) – Applied Data Analytics & Machine LearningABB"
## [57] "Machine Learning Engineering InternButterfly Network"
## [58] "Senior Software Engineer / Machine LearningAtomwise"
## [59] "Principal Developer – Machine LearningBooking.com"
## [60] "Senior Data Scientist – Analytics ProductsKing" # get the company name
get_company <- summary_html %>%
html_nodes("div") %>%
html_nodes("ul") %>%
html_nodes(".company") %>%
html_text() %>%
gsub("[\n\t]", " ", .) %>%
stringr::str_trim() %>%
unlist()
get_company## [1] "MongoDB"
## [2] "Medium"
## [3] "Manulife"
## [4] "Allen Institute for Artificial Intelligence (AI2)"
## [5] "Airbnb"
## [6] "Mailchimp Your business was born for this."
## [7] "Mailchimp Your business was born for this."
## [8] "Manulife"
## [9] "Mozilla A non-profit with one mission: defend the free and open web"
## [10] "Mozilla A non-profit with one mission: defend the free and open web"
## [11] "Medium"
## [12] "DeepMind"
## [13] "Deezer"
## [14] "JFF (Jobs for the Future)"
## [15] "NVIDIA"
## [16] "Tesla"
## [17] "Tesla"
## [18] "Robert Bosch"
## [19] "Mailchimp Your business was born for this."
## [20] "XPO Logistics, Inc."
## [21] "Allen Institute for Artificial Intelligence (AI2)"
## [22] "Mozilla A non-profit with one mission: defend the free and open web"
## [23] "IBM"
## [24] "Robert Bosch"
## [25] "Siemens"
## [26] "Robert Bosch"
## [27] "Butterfly Network"
## [28] "Manulife"
## [29] "Bell Canada"
## [30] "NVIDIA"
## [31] "NVIDIA"
## [32] "Deezer"
## [33] "XPO Logistics, Inc."
## [34] "The Vanguard Group, Inc."
## [35] "DeepMind"
## [36] "Robert Bosch"
## [37] "King"
## [38] "King"
## [39] "Logitech"
## [40] "Mozilla A non-profit with one mission: defend the free and open web"
## [41] "XPO Logistics, Inc."
## [42] "Duolingo"
## [43] "Roche"
## [44] "Airbnb"
## [45] "Airbnb"
## [46] "Amazon.com"
## [47] "NIWA"
## [48] "Medopad"
## [49] "The Vanguard Group, Inc."
## [50] "Centurylink"
## [51] "Centurylink"
## [52] "Centurylink"
## [53] "Centurylink"
## [54] "Vodafone"
## [55] "Taboola"
## [56] "ABB"
## [57] "Butterfly Network"
## [58] "Atomwise"
## [59] "Booking.com"
## [60] "King" # get the position - location
get_location <- summary_html %>%
html_nodes("div") %>%
html_nodes("ul") %>%
html_nodes(".location") %>%
html_text() %>%
gsub("[\n\t]", " ", .) %>%
stringr::str_trim() %>%
unlist()
get_location## [1] "New York City"
## [2] "San Francisco"
## [3] "Toronto, ON CA"
## [4] "Seattle, WA"
## [5] "San Francisco, United States"
## [6] "Atlanta, GA"
## [7] "Atlanta, GA"
## [8] "Montreal, QC CA"
## [9] "Mountain View, Remote Canada, Remote US, San Francisco, Toronto"
## [10] "San Francisco"
## [11] "San Francisco"
## [12] "Paris, France"
## [13] "Paris, Île-de-France, France"
## [14] "Washington, DC or Oakland, CA"
## [15] "Canada, Toronto"
## [16] "Palo Alto, California"
## [17] "Palo Alto, California"
## [18] "Renningen, Germany"
## [19] "Atlanta, GA"
## [20] "Chicago, IL, US, 60601"
## [21] "Seattle, WA"
## [22] "Berlin"
## [23] "Zurich, Switzerland"
## [24] "Pittsburgh, PA 15222, USA"
## [25] "Muenchen, Germany"
## [26] "Austin, TX, United States"
## [27] "New York, NY, USA"
## [28] "Hong Kong, HK"
## [29] "Montreal, QC, CA"
## [30] "Switzerland, Zurich"
## [31] "Santa Clara, CA, USA"
## [32] "Paris, Île-de-France, France"
## [33] "Ann Arbor, MI, US, 48105"
## [34] "Malvern, PA, US"
## [35] "London, UK"
## [36] "Pittsburgh, PA 15222, USA"
## [37] "Stockholm"
## [38] "San Francisco"
## [39] "Windsor, United Kingdom"
## [40] "San Francisco"
## [41] "High Point, NC, US, 27265"
## [42] "Pittsburgh, PA, USA"
## [43] "Switzerland, Basel-City, Basel"
## [44] "Seattle, United States"
## [45] "Seattle, United States"
## [46] "Berlin, Germany"
## [47] "Wellington"
## [48] "London, UK"
## [49] "Malvern, PA, US"
## [50] "Denver, CO"
## [51] "Denver, CO"
## [52] "Denver, CO"
## [53] "Broomfield, CO (or Remote)"
## [54] "London, UK"
## [55] "Tel Aviv, Israel"
## [56] "Ladenburg, Germany"
## [57] "New York, NY, USA"
## [58] "San Francisco"
## [59] "Amsterdam, Noord-Holland, Netherlands"
## [60] "Stockholm" # get detailed url
job_details <- summary_html %>%
html_nodes("div") %>%
html_nodes(".job_listings") %>%
html_nodes("li") %>%
html_nodes("a") %>%
html_attr("href") For the job full description, I got the link for each job posting (href attribute) and iterate over those hrefs and scrape them to get the full description information.
# get detailed description
get_description <- as.character()
for ( n in 1:length(job_details) ){
#build the link
link <- job_details[n]
#pull the link
page <- read_html(link)
#get the full summary
get_description[n] <- read_html(job_details[n]) %>%
html_nodes("div") %>%
html_nodes(xpath = '//*[@id="primary"]/article/div/div/div[2]') %>%
html_text(trim = TRUE)
}
get_description[1]## [1] "MongoDB is growing rapidly and seeking a Data Engineer to be a key contributor to the overall internal data platform at MongoDB. You will build data driven solutions to help drive MongoDBs growth as a product and as a company. You will take on complex data-related problems using very diverse data sets.Who?You have experience with:several programming languages (Python, Scala, Java, etc..)data processing frameworks like Sparkstreaming data processing frameworks like Kafka, KSQ, and Spark Streaminga diverse set of databases like MongoDB, Cassandra, Redshift, Postgres, etc.different storage format like Parquet, Avro, Arrow, and JSONAWS services such as EMR, Lambda, S3, Athena, Glue, IAM, RDS, etc.orchestration tools such as Airflow, Luiji, Azkaban, Cask, etc.Git and GithubCI/CD PipelinesAlsoEnjoy wrangling huge amounts of data and exploring new data setsValue code simplicity and performanceObsess over data: everything needs to be accounted for and be thoroughly testedPlan effective data storage, security, sharing and publishing within the organizationAre constantly thinking of ways to squeeze better performance out of the pipelinesBonus PointsYou are deeply familiar with Spark and/or HiveYou have expert experience with AirflowUnderstand the differences between different storage format like Parquet, Avro, Arrow, and JSONUnderstand the tradeoffs between different schema designs like normalization vs denormalizationIn addition to data pipelines, you’re also quite good with Kubernetes, Drone, and TerraformYou’ve built end to end production grade data solutions that run on AWSHave experience building ML pipelines using tools likeSparkML, Tensorflow, Scikit-Learn, etc.What?As a Data Engineer, you will:Build large-scale batch and real-time data pipelines with data processing frameworks like Spark on AWSHelp drive best practices in continuous integration and deliveryHelp drive optimization, testing and tooling to improve data qualityCollaborate with other software engineers, ML experts and stakeholders, taking learning and leadership opportunities that will arise every single day" jobs_data <- rbind(jobs_data,data.frame(get_position,
get_company,
get_location,
job_details,
get_description))
jobs_data %>% kable() %>% kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>% scroll_box(width="100%",height="300px")| get_position | get_company | get_location | job_details | get_description |
|---|---|---|---|---|
| Data EngineerMongoDB | MongoDB | New York City | https://ai-jobs.net/job/data-engineer-40/ | MongoDB is growing rapidly and seeking a Data Engineer to be a key contributor to the overall internal data platform at MongoDB. You will build data driven solutions to help drive MongoDBs growth as a product and as a company. You will take on complex data-related problems using very diverse data sets.Who?You have experience with:several programming languages (Python, Scala, Java, etc..)data processing frameworks like Sparkstreaming data processing frameworks like Kafka, KSQ, and Spark Streaminga diverse set of databases like MongoDB, Cassandra, Redshift, Postgres, etc.different storage format like Parquet, Avro, Arrow, and JSONAWS services such as EMR, Lambda, S3, Athena, Glue, IAM, RDS, etc.orchestration tools such as Airflow, Luiji, Azkaban, Cask, etc.Git and GithubCI/CD PipelinesAlsoEnjoy wrangling huge amounts of data and exploring new data setsValue code simplicity and performanceObsess over data: everything needs to be accounted for and be thoroughly testedPlan effective data storage, security, sharing and publishing within the organizationAre constantly thinking of ways to squeeze better performance out of the pipelinesBonus PointsYou are deeply familiar with Spark and/or HiveYou have expert experience with AirflowUnderstand the differences between different storage format like Parquet, Avro, Arrow, and JSONUnderstand the tradeoffs between different schema designs like normalization vs denormalizationIn addition to data pipelines, you’re also quite good with Kubernetes, Drone, and TerraformYou’ve built end to end production grade data solutions that run on AWSHave experience building ML pipelines using tools likeSparkML, Tensorflow, Scikit-Learn, etc.What?As a Data Engineer, you will:Build large-scale batch and real-time data pipelines with data processing frameworks like Spark on AWSHelp drive best practices in continuous integration and deliveryHelp drive optimization, testing and tooling to improve data qualityCollaborate with other software engineers, ML experts and stakeholders, taking learning and leadership opportunities that will arise every single day |
| Machine Learning EngineerMedium | Medium | San Francisco | https://ai-jobs.net/job/machine-learning-engineer-64/ | At Medium, words matter. We are building the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas; a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. We are looking for a Machine Learning Engineer that will work with a talented multi-functional team and focus on building an advanced recommendations engine that matches Medium’s users with the content they enjoy. We are looking for experienced engineers that will help design, prototype and implement systems which enable users to discover personalized content. At Medium, we are proud of our product, our team, and our culture. Medium’s website and mobile apps are accessed by millions of users each day. Our mission is to move thinking forward by providing a place where individuals, along with publishers, can share stories and their perspectives. Behind this beautifully-crafted platform is our engineering team who works seamlessly together. From frontend to API, from data collection to product science, Medium engineers work multi-functionally with open communication and feedback.What will you doWork on a large-scale recommendation system, consisting of feature engineering / storage, deep learning training pipelines, offline evaluation systems, and online serving infrastructure.Work on a team to understand Medium’s user’s interests and build the systems and machine learning models that deliver recommendations to users.Push the boundary of natural language processing (NLP) technologies and combine artificial and human intelligence to understand content on Medium.Apply state-of-the-art machine learning technologies to find the most interesting and relevant for readers on Medium and help them get value from Medium.Collaborate with product scientists, product managers, and other engineers across the company.Who are youYou have experience working on production machine learning systems at scale, data mining, search, ranking, recommendations, and/or natural language processing.4+ years of software engineering experienceYou have deep understanding of machine learning models, feature engineering, and how to evaluate performances of machine learning systems.You are passionate about using technology to help Medium readers discover the most interesting and relevant stories.Nice to HaveSpark data pipeline and/or streaming experienceAt Medium, we foster an inclusive, supportive, fun yet challenging team environment. We value having a team that is made up of a diverse set of backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer Interested? We’d love to hear from you. |
| Senior Data EngineerManulife | Manulife | Toronto, ON CA | https://ai-jobs.net/job/senior-data-engineer-8/ | Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.Job DescriptionAre you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference and a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.The fast-growing Manulife Canadian Data office is hiring a senior data engineer working on advanced analytics engineering, data services, AI/machine learning production, and DataOps in Toronto or Waterloo officeAs Senior Data Engineer in this role you will work on:AI/Machine learning engineering and productionBig data application and analytics productsAdvanced analytics and DataOps solutions in the Big Data ecosystemResponsibilities for this role include:Build AI/machine learning engineering and production, including recommendation engine and real-time decision management systemLead multiple multi-functional teams to build big data application and analytics products using cloud/bigdata/advanced analytics technologies to advance Manulife’s all lines of businessParticipate in PoC/PoT efforts to integrate new Big Data management technologies, software engineering tools, and new patterns into existing structuresExploratory data analysis; Query and process Big Data, provide reports, summarize and visualize the dataResearch opportunities for data acquisition and new uses for existing dataDevelopment of Big Data set processes for data modeling, mining and productionConsult, collaborate, and recommend solutions for batch and streaming use case patternsCreate and publish design documents, usage patterns, and cookbooks for technical communityExperience required for this role is as follows:Over three years of experience in Pyspark/SparkSQL/Scala programming in cloud/spark environmentStrong experience in AI/Machine learning engineering and productionHands-on working experience in building recommendation engine and real-time decision management systemExperience with DevOps or continuous delivery tools and processes a plusExperience with data as service/API service/Microservice/Neo4j/Elasticsearch/sparkstreamingExperience in Big Data performance analysis, tuning and capacity planningShow passion, take accountability, and be willing to grow and leadWhat about Perks?Manulife has lots of perks including, but not limited to:Competitive compensationRetirement Savings Accounts including a RPP (Pension Plan), RRSP (Retirement Savings Plan), and TFSA (Tax Free Savings account)Manulife Share Ownership Program with employer matchingCustomizable Benefits Package including Health, Dental, Vision, and 100% of Mental Health expensesFinancial support for ongoing training, learning, and educationMonthly Innovation Days (Hackathons)Wearing jeans to work every dayAn abundance of career paths and opportunities to advanceA flexible work environment with flex hours, work from home arrangements, distributed teams, and condensed work week arrangements.This is a full time permanent role that can be worked from Toronto or Waterloo, Ontario.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. |
| Research ScientistAllen Institute for Artificial Intelligence (AI2) | Allen Institute for Artificial Intelligence (AI2) | Seattle, WA | https://ai-jobs.net/job/research-scientist-6/ | The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking post docs and Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.Position SummaryAI2 currently has projects in the following areas:Language and VisionInformation extraction and semantic parsingQuestion answeringLanguage and reasoningMachine learning and theory formationSemantic searchNatural language processingDiagram understandingVisual knowledge extraction and visual reasoningAnd more….AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.QualificationsApplicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.Why AI2In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:We are a learning organization — because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.We value diversity — We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.We value inclusion — We understand the value that people’s individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.We emphasize a healthy work/life balance — we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.We are collaborative and transparent — we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.We are in Seattle — and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.We are friendly — chances are you will like every one of the 100+ (and growing) people who work here. We do.AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. |
| Data Scientist – Analytics, ForecastingAirbnb | Airbnb | San Francisco, United States | https://ai-jobs.net/job/data-scientist-analytics-forecasting/ | Airbnb has become a global platform that connects travelers and hosts from over 81,000 cities. Our Data Science team draws insights from our rich two-sided marketplace data to propel our community and product forward. Together we can create a place where we can belong anywhere.Information is only valuable if it is understood. As a Data Scientist focused on analytics, you’ll have the opportunity to influence the business by creatively exploring the data to inform what we do differently. You’ll define success and measure our progress, and you’ll make sure that your team and the company overall know what is happening. We think of data as the voice of the user at scale. You’ll be that translator. And because Airbnb is a global product with people traveling to each other’s homes, you’ll be responsible for understanding what works differently in those cultural contexts. We are looking for a talented Data Scientist to join our Central Strategy and Insights team, focusing on Revenue forecasting. This role will be a hybrid between a data scientist, strategic business partner, and financial analyst; we’re looking for a self-starter with an entrepreneurial mindset, who can understand drivers that are important of a rapidly growing business. Responsibilities will revolve around modeling the Homes business, driving revenue planning, evaluating ROI of investments and developing actionable insights to drive business growth. The best candidates will be those with a technical background that want to be close to the financial core of the business. The role will start as a senior IC role and could potentially transition into management in the future. Responsibilities:Partner with a cross functional team of Data Scientists, Engineers, and FP&A Analysts to help define the scope, vision, and roadmap of forecasting at Airbnb. Communicate performance metrics, explaining the business reasons for variance from the forecast to our executive team and senior leaders across the company.Utilize Airbnb’s advanced statistical growth model to identify drivers of growth to perform monthly / quarterly forecast updates that will ultimately drive strategic decisions, financial planning, and external guidance on earnings calls. Manage a variety of stakeholders that provide inputs and consume outputs of the revenue forecast. Skills and experience:BA/BS in a quantitative field (e.g., mathematics, statistics, econometrics, computer science); advanced degree is a plus 8+ years’ industry experience in data science, analytics, economic consulting, or finance (quant)Strong communication/presentation skills with a track record of presenting complex analyses to executives/ senior management clearly and conciselyExpert in financial modeling in excel Strong foundational understanding of statistics and interest to learn more about statistical modelingExpert knowledge of SQL and relational databases, and some experience with programming in R or Python BenefitsStock$2,000 yearly employee travel couponCompetitive salaryPaid time off Medical, dental, & vision insuranceLife & disability coverage401KFlexible Spending AccountsApple equipmentDaily breakfast, lunch, and dinner We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status |
| Senior Data ScientistMailchimp Your business was born for this. | Mailchimp Your business was born for this. | Atlanta, GA | https://ai-jobs.net/job/senior-data-scientist-28/ | Mailchimp is a leading marketing platform for small business. We empower millions of customers around the world to build their brands and grow their companies with a suite of marketing automation, multichannel campaign, CRM, and analytics tools.The Data Science team builds applications that make sense of the data created by MailChimp’s millions of users. By using predictive analytics and big data technologies we help MailChimp fight spam and empower small businesses with information. We work closely with MailChimp’s Development and Operations teams to make analytical insights actionable within our infrastructure. MailChimp is looking for a Senior Data Scientist to help our data science team’s research efforts. You’ll work alongside software engineers by trialing analyses and training predictive models on our data that will eventually become customer facing and/or internal services, and you’ll touch hundreds of terabytes of data.The ideal candidate is a self-directed, experienced data scientist who believes in demonstrating how data can be used to help our customers. You love new challenges, but you’re skeptical of the new hotness. You’ve run analyses using various tools, but you’re partial to Python. Communication and cross-validation are tools you use every day. What you’ll do:Work and lead to develop analytical techniques for our predictive models as well as improve existing ones using Python’s scientific computing stackInform, influence, and support data scientists and software engineers working on the teamHelp mentoring and guiding junior scientists on the teamHelp to identify opportunities in MailChimp data systemsWork to improve quality and mitigate bias in MailChimp data systemsEmbrace and demonstrate our values: humility, creativity, and independenceWe’d love to hear from you if:Degree in Statistics, Operations Research, Mathematics, Computer Science, or equivalent experience5+ years of experience in Data Science, Machine Learning or related fieldsExpert in Python and associated data science ecosystemExperience with Cloud platforms (Google Cloud, AWS…). Experience with big data processing tools: BigQuery, Dataflow, Spark… Mailchimp is a founder-owned and highly profitable company headquartered in the heart of Atlanta. Our purpose is to empower the underdog, and our mission is to democratize cutting edge marketing technology for small business. We offer our employees an exceptional workplace, extremely competitive compensation, fully paid benefits (for employees and their families), and generous profit sharing. We hire humble, collaborative, and ambitious people, and give them endless opportunities to grow and succeed.We love our hometown and support sustainable urban renewal. Our headquarters is in the historic Ponce City Market, right on the Atlanta Beltline. If you’d like to be considered for this position, please apply below. We look forward to meeting you!Mailchimp is an equal opportunity employer, and we value diversity at our company. We don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. |
| Data ScientistMailchimp Your business was born for this. | Mailchimp Your business was born for this. | Atlanta, GA | https://ai-jobs.net/job/data-scientist-102/ | Mailchimp is a leading marketing platform for small business. We empower millions of customers around the world to build their brands and grow their companies with a suite of marketing automation, multichannel campaign, CRM, and analytics tools.The Data Science team builds applications that make sense of the data created by Mailchimp’s millions of users. By using predictive analytics and big data technologies we help Mailchimp fight spam and empower small businesses with information. We work closely with Mailchimp’s Development and Operations teams to make analytical insights actionable within our infrastructure. Mailchimp is looking for a Data Scientist to help our data science team’s research efforts. You’ll work alongside software engineers by trialing analyses and training predictive models on our data that will eventually become customer facing and/or internal services, and you’ll touch hundreds of terabytes of data.The ideal candidate is a self-directed, experienced data scientist who believes in demonstrating how data can be used to help our customers. You love new challenges, but you’re skeptical of the new hotness. You’ve run analyses using various tools, but you’re partial to Python. Communication and cross-validation are tools you use every day. What you’ll do:Work to develop analytical techniques for our predictive models as well as improve existing ones using Python’s scientific computing stackHelp to identify opportunities in Mailchimp data systemsWork to improve quality and mitigate bias in Mailchimp data systemsEmbrace and demonstrate our values: humility, creativity, and independenceWe’d love to hear from you if: 2+ years experience working on data science projects or applicationsDevelopment experience in a scientific programming language (Python, R, Matlab, Julia)Understanding of statistical analysis and machine learning techniquesExperience in database systems (SQL or NoSQL)Experience with Cloud platforms (Google Cloud, AWS…)Ability to communicate methods and results of analyses Bonus points if:Advanced degree in quantitative or technical field Mailchimp is a founder-owned and highly profitable company headquartered in the heart of Atlanta. Our purpose is to empower the underdog, and our mission is to democratize cutting edge marketing technology for small business. We offer our employees an exceptional workplace, extremely competitive compensation, fully paid benefits (for employees and their families), and generous profit sharing. We hire humble, collaborative, and ambitious people, and give them endless opportunities to grow and succeed.We love our hometown and support sustainable urban renewal. Our headquarters is in the historic Ponce City Market, right on the Atlanta Beltline. If you’d like to be considered for this position, please apply below. We look forward to meeting you!Mailchimp is an equal opportunity employer, and we value diversity at our company. We don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. |
| Data Scientist (NLP)Manulife | Manulife | Montreal, QC CA | https://ai-jobs.net/job/data-scientist-nlp-4/ | Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.Job DescriptionThe Role: Data Scientist (NLP)Are you looking for unlimited opportunities to develop and succeed? At Manulife, we offer work that is challenging and makes a difference. Our flexible and supportive work environment ensures the best service to help our customers to achieve their dreams and aspirations.General Accountability:The Data Scientist develops and implements analytics enabled solutions to improve business process, to generate insights, to support business goals and strategy development. They would also own and deliver complete projects of moderate scope and manages assigned tasks on more complex projects.This position is accountable for the research, development and implementation of Natural Language Processing models and algorithms to improve business processes, and generate insight to support the strategy and goals of Group Functions (Compliance, Risk, HR, Branding & Communication, Finance, etc.).In addition, this position will act as a bridge between researchers at Mila and Manulife to ensure the success of our partnership. The candidate is expected to share time between Manulife Quebec office and Mila.Responsibilities:Lead and develop NLP solutions through consulting type engagements with internal business clientsIdentify, assess and drive the adoption of new NLP techniques across ManulifeConduct research to push Manulife abilities in data science and NLP.Turn statistical and computational analysis into user-friendly graphs, charts, and animation. Enable those who aren’t professional data analysts to effectively interpret data.Peer review other Data Scientists’ workQualifications:Advanced degree in Computer Science or Computer Engineering with a focus on ML or NLP (PhD preferred)Minimum of 3 years of applied experience in ML, deep learning and NLPHave expert understanding of machine learning and NLP tasks such as classification, feature engineering, information extraction, structured prediction, sentiment analysis, Q/A, NER and topic modellingFully understand different neural networks (LSTM, CNN, RNN, seq2seq, BERT etc.), different word embedding models and transfer learning.Proficient in Python or C/C++Knowledge of packages such as Tensorflow, Pytorch, Keras, Scikit Learn, Pandas, NLTK, Gensim, spaCy and XGBoostHave experience with embeddings, transfer learning, and interpretability methodsHave working knowledge of Hadoop ecosystem (e.g. Spark)Have the ability to build, validate, deploy and monitor iteratively advanced predictive modelsExcellent communication, influencing, consulting and conflict management skillsExtensive experience in debugging and solving performance issues when taking care of terabytes of dataProven track record of delivering innovative analytical insights to a variety of customersStrong dedication to interpersonal success and teamworkAdaptable and open to change with strong collaboration and presentation skillsFamiliarity with Agile methodologiesPersonal Attributes and Cultural Fit:Inspires and motivates others.Role model of ethics and integrity who builds a culture of respect.Highly effective change agent who embraces change and leads change management.Provides courageous advice.Results oriented; highly focused on accountability.Ability to handle multiple partnersDemonstrates a commitment to delivering excellent service balanced with appropriate risk management.Strategic perspective.Highly collaborative working style. If you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock. About Manulife Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of December 31, 2018, we had over $1.1 trillion (US$794 billion) in assets under management and administration, and in the previous 12 months we made $29.0 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as ‘MFC’ on the Toronto, New York, and the Philippine stock exchanges and under ‘945’ in Hong Kong. Manulife is committed to supporting a culture of diversity and accessibility across the organization. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request an accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially. |
| Data Science ManagerMozilla A non-profit with one mission: defend the free and open web | Mozilla A non-profit with one mission: defend the free and open web | Mountain View, Remote Canada, Remote US, San Francisco, Toronto | https://ai-jobs.net/job/data-science-manager-5/ | Team:Data AnalyticsLocations:Mountain View, Remote Canada, Remote US, San Francisco, TorontoThe RoleAt Mozilla, we want to protect the Internet as a global resource, open and accessible to all. We collect terabytes of data a day from millions of users to guide our decision-making. We could use your help. As a manager on the data science team, you will own a critical piece of the Mozilla organization. Data scientists work closely with our policy, legal, and business development teams to enable decisions and contribute insights that push our mission forward and in the right direction. They build models and design experiments that improve our understanding about the operation of our business and products to ensure that we are optimizing our decisions for maximum impact on the market. We are looking for an opinionated manager with technical chops who is excited to marshal a data science team to shape the future of the Web. You will manage a small team of data scientists and will be responsible for career mentorship and technical guidance. You will work with leadership to define and execute strategies that demonstrate the value of the data contributed by our users while maintaining an ethical set of principles to guide your practice.As a data science manager…You are comfortable steering a team of 2-7 data scientists to align with business priorities, legal and policy agendas, and Mozilla’s greater missionYou pride yourself on your ability to communicate technical concepts to diverse audiences across MozillaYou define requirements for data scientists to other parts of the Mozilla organizationYou collaborate with cross-functional management to create new initiatives and refine existing processes that increase the impact of the data science teamYou possess a strategic mindset and find motivation in creatively solving problemsYou establish best practices for data science workflows and know how to create an environment and team culture that enables data scientists to perform at their bestYou have a strong desire to contribute to Mozilla’s mission through data science Your professional profileAt least 2 years directly managing a team of data scientists.At least 5 years of industry experience in the data science profession.You have experience with a breadth of analytical methodologies and possess a solid foundation in numerous statistical techniquesYou also have experience with common data science technologies, namely SQL, Python, or R, as well as familiarity with conventional code and programming conceptsYou have strong communication skills; experience speaking at industry or academic conferences a plusYou consider contributing to a collaborative and open team culture an important responsibilityFeel good about your work again.At Mozilla, we’re serving humanity—by maintaining a safe, open internet—while also helping the individual humans employed here to reach their personal and professional goals. With a relatively small team serving hundreds of millions of people, a culture of exploration, and a commitment to mentorship, opportunities abound to learn and grow at Mozilla.Our values drive our actionsPurpose is built into our work, with our mission driving every decisionWe challenge assumptions, the status quo, ourselves, and each otherWe are transparent: in our code, our business partnerships, and our everyday interactions We seek out people from diverse backgrounds and with perspectives different from our own We pair purpose with performance and put people ahead of profitOur impact is global1000+ paid staff from over 30 countriesThousands of volunteer contributors across six continents10 global offices: Beijing, Berlin, London, Paris, Mountain View, Portland, San Francisco, Taipei, Toronto and VancouverHundreds of home offices globallyOur benefits are world-class Flexible work environment (nearly half of Mozillians work remotely)Industry-leading paid parental leave (up to 26 weeks of fully paid leave for childbearing parents and up to 12 weeks for non-childbearing parents)Reimbursement for professional development (up to $3,000/year)A work setup including the latest hardware and software of your choiceWellness programs—we reimburses up to $1700/year for expenses like child and elder care, mental wellness, and personal enrichment About MozillaWe are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.A lot of companies say they’re “mission-driven.” Our unique corporate structure guarantees that every decision we make upholds our mission: to make sure the internet stays available, safe, and welcoming to everyone. Beholden to neither shareholders nor investors, Mozilla Corporation is wholly owned by the not-for-profit Mozilla Foundation.Along with 20,000+ volunteer contributors and collaborators all over the world, Mozilla Corporation’s staff designs, builds, and distributes software that allows people to enjoy the internet on their own terms. Our flagship product — the Firefox browser — has expanded into a family of products that protects users and alerts them of risks. Mozilla’s Emerging Technologies group incubated and sponsors Rust — Stack Overflow’s “most loved programming language” for the last four years — and is building safe, private versions of virtual reality, internet of things, and voice recognition. |
| Machine Learning Intern – Pocket (Summer 2020)Mozilla A non-profit with one mission: defend the free and open web | Mozilla A non-profit with one mission: defend the free and open web | San Francisco | https://ai-jobs.net/job/machine-learning-intern-pocket-summer-2020/ | Team:PocketLocations:San FranciscoAt Pocket we love what we do, but more importantly we are building something that millions of people love, too. Pocket has become essential to how people discover and consume content worthy of their time and attention on any device and on their own time. If you are passionate about using technology to improve people’s lives, we believe Pocket has challenges ahead that will excite you.With millions of people discovering and consuming content across the Pocket platform, our community generates one of the most unique and interesting sets of data on the web. We are looking to expand our team to help achieve our mission of advancing access to and discovery of high-quality, personalized content across the web.We’re a small team that has the resources of a large company (Pocket was acquired by Mozilla in 2017) and that means lots of opportunity to own projects from start to finish that have tremendous impact on hundreds of millions of users, across many different devices and platforms. Your role will fundamentally affect the success of Pocket.As a part of our Internship Program, you will:Be mentored by a fellow teammate and someone who shares the same valuesDo real work on real projects and make contributions that will impact hundreds of millions of usersParticipate in social events with your fellow interns (amusement parks, ice cream and boba socials, board game nights, escape rooms, and painting parties)Meet with Mozilla and Pocket leaders including our CEO, Executive Chairwoman, CPO, Chief R&D Officer, CMO, and Executive Foundation DirectorPresent your work to leaders and fellow team membersPerks include:Market competitive payCatered lunches, snacks, and drinksHousing service or housing stipend provided Flights and ground transportation to and from internshipWork visas sponsoredAttendance at our bi-annual All Hands MeetingApplication and Interview ProcessRecruiting begins in September, and we hire on a rolling basis through March. While there is no set application deadline, we do have a limited number of positions open each year, so please apply early!Process starts with a resume review followed by a HackerRank challenge (technical) or document submission (non-technical)Upon passing, you will partake in two technical and behavioral interviews with team members (coding and situational questions are fair game) followed by a hiring manager interview and ultimately, an offer decision. Machine Learning Intern (San Francisco, CA)The Data & Learning team at Pocket is responsible for recommendations and content analysis. Our work is applied to the Pocket products and the Firefox new tab. We typically use Python, and are looking for an intern with some machine learning and/or statistical experience. As an intern, you will help us explore recommendations, classifications, and optimization problems.Basic Qualifications: Currently enrolled in a Bachelor’s or Master’s degree program in Computer Science, or a related disciplineGraduation date starting December 2020 and onward Preferred Qualifications:PythonUnix/LinuxSQLUnderstanding of machine learning and statisticsStrong analytical and critical thinking skills Ability to interpret large amounts of data, multi-task, and produce results independently and collaboratively in a teamAbout Mozilla Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. Join us and become part of our mission to promote openness, innovation and opportunity online. Mozilla is committed to Equal Employment Opportunity throughout our recruiting and hiring process and is dedicated to increasing diversity in our workplace. |
| Applied Research Scientist, Machine LearningMedium | Medium | San Francisco | https://ai-jobs.net/job/applied-research-scientist-machine-learning/ | While more and more people share their little stories that make your day better or declare manifestos that change the world, our recommendation algorithms and our understanding of natural language has to handle new topics, new interests, new styles and new audiences every day. Research at Medium is about helping our team discover connections between readers and writers, from professional journalists to amateur cooks, shared on a beautiful, collaborative tool. Methods we use span from collaborative filtering approaches, to supervised and unsupervised learning models, from deep learning to natural language processing techniques. How do we introduce a new article just published by the Economist about Elizabeth Taylor? Are the movie enthusiasts or the jewelry fans the right audience? Is ‘origami’ the art of paper folding or a new software? Answering these questions will require you to apply well-studied machine learning approaches, and invent your own algorithmic solutions. We are looking for an Applied Research Scientist in Machine Learning that will work closely with other engineers to build and train models to recommend the articles that our readers will love, and understand natural language in Medium posts better. You will build machine learning model prototypes, use statistical learning tools to discover structure in our data coming from millions of interactions daily. At Medium, we are proud of our product, our team, and our culture. From frontend to API, from data collection to product management, Medium engineers work multi-functionally with open communication and feedback.What will you doYou will select and tune machine learning models and measure their performance for recommendation tasks and many other natural language processing tasks.You will work closely with system engineers to get your research ideas into production and run experiments.You will use tools to extract and transform data, engineer features for your model, build offline evaluation tools.You will apply state-of-the-art machine learning technologies to find the most interesting and relevant for readers on Medium and help them get value from Medium by measuring model performance in offline setting.You will collaborate with data scientists, product managers, and other engineers across the company.Who are youYou have worked for 2+ years on machine learning models for item recommendation and NLP applications.You have experience working on production machine learning systems at scale, analytics, search, ranking, recommendations, and/or natural language processing.You have deep understanding of machine learning models, feature engineering, and how to evaluate model performance.Nice to havePython fluency, and familiarity with Python ML libraries, and Py-Spark.Experience using information retrieval methods including vector space model, latent semantic indexing and latent Dirichlet allocation.At Medium, we foster an inclusive, supportive, fun yet challenging team environment. We value having a team that is made up of a diverse set of backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer. Interested? We’d love to hear from you. |
| Research Scientist / Chercheur en sciencesDeepMind | DeepMind | Paris, France | https://ai-jobs.net/job/research-scientist-chercheur-en-sciences/ | À DeepMind, nos chercheurs en sciences dirigent nos efforts dans le développement d’architectures algorithmiques innovantes, dans le but de trouver et de construire une intelligence artificielle générale. Ayant mené des projets de recherche de pointes dans des laboratoires académiques ou industriels de renommées internationales en tant que doctorants, post-doctorants ou professeurs, ils rejoignent DeepMind afin de collaborer au sein des différents domaines de recherche. Ils développent des solutions à des questions fondamentales en machine learning, neurosciences computationnelles et intelligence artificielle.Puisant dans leur expérience dans une multitude de domaines tels que le deep-learning, l’apprentissage par renforcement, la vision par ordinateur, le langage, les neurosciences, la sécurité, le contrôle, la robotique et les systèmes multi-agents, nos chercheurs sont à l’avant-garde d’une recherche très innovante.Responsabilités:Participer au design, à l’implémentation et à l’évaluation de modèles, agents et prototypes logiciels de traitement perceptif.Présenter les développements et les résultats de recherche avec clarté et efficacité, à l’oral comme à l’écrit, en interne et en externeSuggérer et s’engager dans des collaborations internes pour atteindre les objectifs de rechercheTravailler avec des collaborateurs externes et entretenir des relations avec les laboratoires de recherche et acteurs clés selon les besoins.ProfilQualifications minimales:Doctorat dans un domaine technique ou expérience équivalenteAnglais courant.Qualifications souhaitées:Doctorat en machine learning, neurosciences ou informatiqueExpériences additionnelles pertinentes pour la position (par exemple post-doctorats), un solide dossier de publications, une expérience des architectures de réseaux de neurones profonds.Rémunération compétitive./DeepMind is active within the wider research community through publications and partners with many of the world’s top academics and academic institutions. We have built a hardworking and engaging culture, combining the best of academia with product led environments, providing an ambitious balance of structure and flexibility.Our approach encourages collaboration across all groups within the Research team, leading to ambitious creativity and the scope for creative breakthroughs at the forefront of research.Research Scientists at DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.Having pioneered research in the world’s leading academic and industrial labs in PhDs, post-docs or professorships, Research Scientists join DeepMind to work collaboratively within and across Research fields. They develop solutions to fundamental questions in machine learning, computational neuroscience and AI.Drawing on expertise from a variety of disciplines including deep learning, reinforcement learning, computer vision, language, neuroscience, safety, control, robotics and multi-agent, our Research Scientists are at the forefront of groundbreaking research.Responsibilities:Design, implement and evaluate models, agents and software prototypes of perceptual processing.Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.Suggest and engage in team collaborations to meet research goals.Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.About youMinimum qualifications:PhD in a technical field or equivalent practical experienceWritten / spoken fluency in English.Preferred qualifications:PhD in machine learning, neuroscience or computer science.Relevant experience to the position such as post doctoral roles, a proven track record of publications, or deep neural network architectures.A real passion for AI.Competitive salary applies.Competitive salary appliesDeepMind welcomes applications from all sections of society. We are committed to equal employment opportunity regardless of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. |
| Intern Data AnalystDeezer | Deezer | Paris, Île-de-France, France | https://ai-jobs.net/job/intern-data-analyst/ | Company DescriptionBelieve in Better.With 53 millions of tracks and a presence in 180 countries,Deezer is the most personal music streaming service in the world.Behind the code and the pixels is our team of 500 music lovers, and we’re building something incredible together. Want in? If you’re looking for an adventure, not just a job, and you fancy seeing ideas come to life in a heartbeat, you’re in the right place.We believe in better product, better speed and better people.Job DescriptionHow about you?We are currently looking for an intern Data Analyst to join our Market Analytics team, and to support our experienced Data Analyst in analyzing our market performance while giving strategic market insights to help grow the local business. What you will do:You will support the market analyst responsible of the Americas.You will provide insights regarding the markets, trends, competitors, potential and existing customers, and current campaigns.You will provide regular update on Deezer KPIs to the country managers.You will help generating reports/analysis of market results, ad-hoc analyses and recommendations, that will help markets identify and seize opportunities of growth.You will support marketing actions and initiatives by analyzing their performance: CRM campaigns, promotional offers, acquisition of new users, partnerships, conversion from free to paying user, churn, … QualificationsWhat we are looking for: You are currently enrolled in your last year, or have just graduated with a Master’s Degree in Engineering or StatisticsPassion for data, numbers and statisticsExperience in SQL and with large amounts of dataExperience with Tableau Software and Python is a plusCapacity to operate independently, being thorough, and delivering results in a highly organized mannerGood communication skillsFluent in EnglishPortuguese and/or Spanish is a plusAdditional InformationLife @ DeezerDepending on the country you’ll be working in, you will find several of the following perks: – Start-up environment and philosophy– Highly motivated and product-focused people ready to drive innovation– In-house Deezer Sessions with your favorite artists, gig tickets– Hackathons & meetups– Friday drinks, summer and winter parties– A stocked kitchen with free drinks and snacks– Areas to relax and collaborate with beanbags, guitars and table football– An ‘at home’ vibe, with great outdoor spaces– Gym access at Deezer HQ with lunch-time yoga, pilates and boxing classesIf you feel like this is the right opportunity for you, press play!We are an equal opportunity employer. |
| Director, Data ServicesJFF (Jobs for the Future) | JFF (Jobs for the Future) | Washington, DC or Oakland, CA | https://ai-jobs.net/job/jff-jobs-for-the-future-washington-dc-or-oakland-ca-full-time-director-data-services/ | About JFF and JFFLabs: JFF is a national nonprofit that drives transformation in the American workforce and education systems. For 35 years, JFF has led the way in designing innovative and scalable solutions that create access to economic advancement for all. JFFLabs, the innovation engine of JFF, bridges the gap between companies and startups, traditional education and workforce systems, and investment capital.JFF and JFFLabs operate in tandem to pursue the same mission: to build a society in which everyone has the opportunity to access the skills, resources, and credentials they need to achieve economic advancement.Position Overview: Fifteen million people turn to the workforce system each year for advice and information to help them navigate the complexities of life, learning, and work. The workforce system is poised to transform to create greater impact through the use of data and deeper insight into emerging education opportunities, learning outcomes, and labor market shifts.Our team will be building a hub of support to advance the entire workforce ecosystem including workforce boards, training organizations, and individual workers. We will equip the workforce system with robust data tools and infrastructure and increase its capacity to share insights about organizational outcomes and community impact. The Director, Data Services will play a critical role in achieving this vision as the co-director and co-creator of this hub and its data infrastructure. Working in partnership with the Initiative Director, Josh Copus, the Director, Data Services will identify common data points across a diverse set of organizations from around the country, build new data infrastructure, and deploy solutions that empower organizations, workers, and learners to make informed decisions.This is an exciting opportunity for a curious, analytical, and strategic leader to drive a technical vision to unlock the transformative potential of data in the field of workforce development with a vision to expand data services to other areas in the future. This role would be part of a highly-motivated and fast-growing team and will have management responsibilities as the team grows.What you’ll do: ● Lead strategy and operate as a strategic leader, with the ability to guide, influence and inspire peak performance across the data architecture and analytics functions ● Develop a data management and analysis strategy; lead inall technical program areas related to data architecture, design, implementation, and testing ● Lead the prototyping, integration and iterative improvement of data migration, data cleaning and data matching methods ● Contribute to the growth and sustainability of new data products ● Manage the selection and implementation of internal data tools and systems and model complex problems, discover insights and identify opportunities through the use of statistical, algorithmic, mining and visualization techniques ● Design and implement research or usability studies, from prototyping to surveying ● Analyze data from many sources to quantify and understand behavior ● Communicate clearly with multiple constituencies, soliciting and digesting feedback from both technical and non-technical usersWho you are: ● Possess high energy and passion for JFF’s mission and the work of JFFLabs ● Value diversity, equity, and inclusion as an applied practice to all areas of work including program, partnership, and team management ● Obtained a Computer Science or Engineering or Mathematics degree; or equivalent engineering experience with technical depth and breadth ● Previous leadership experience with a demonstrated ability to rally teams with different mandates, within and across organizations, around a single product vision ● Experience with end-to-end development including all phases of the product life cycle, from understanding customer needs to delivering ongoing support for a live solution ● Experience building novel solutions across the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive) ● Experience with data-centered products: data schema design and implementation, ETL pipelines and related technologies, and data visualization platforms ● Strong written and communication skills; with an ability to build relationships across a diverse group of stakeholders ● High degree of flexibility and ability to navigate a high-growth, evolving and entrepreneurial environment ● Genuinely enjoy being part of a team and compelled to help colleagues and customers improve and grow ● Ability to travel domestically for up to three weeks per year Preferred, but not required: ● Experience working with complex, scaled data sets in a social service sector setting; workforce development, education, health and human services, or criminal justice ● Experience with state and federal data governance, policies, programs, and practices in the United States, in particular the Workforce Innovation and Opportunity Act (WIOA) of 2014Diversity, Equity and Inclusion at JFF: JFF is committed to sustaining a diverse community with a work environment that is welcoming, respectful, and encouraging to all. JFF fosters a culture of inclusion that celebrates and cultivates diversity along multiple dimensions, including race, ethnicity, sex, gender identity, gender expression, sexual orientation, age, national origin, socioeconomic status, religion, ability, culture, and experience.To Apply: Please upload a resume and thoughtful cover letter, outlining how your skills and experience meet the qualifications of the position, addressed to Josh Copus.JFF offers a competitive salary and benefits package, commensurate with experience and skills. |
| Deep Learning Intern – Content & Technology (Winter/Spring 2020)NVIDIA | NVIDIA | Canada, Toronto | https://ai-jobs.net/job/deep-learning-intern-content-technology-winter-spring-2020/ | Do you have a passion for computer gaming, virtual reality, computer vision, and artificial intelligence?Ever dream about inventing your own holodeck? Do you want to work on leading-edge problems alongside some of the best and brightest people in the world?NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” company that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence.We are now looking for Deep Learning Interns for our Simulation Technology team!What you will be doing:You will apply deep learning techniques to the simulation of virtual environments, developing methods to generate synthetic data for training neural networks to achieve results comparable to networks trained on real dataWork on improving realism for agents in synthetic environments – using reinforcement learning techniques to control behavior and animation of simulated characters, crowds, and vehiclesConduct research into novel Deep Learning network architectures and techniques for achieving the above.Perform additional development around related technologies as applied to games, VR and visual effects applications.What we need to see:You are pursuing a PhD, MS, or BS in Computer Science or related field.Expertise in neural networks, computer graphics, simulation or game development.You have experience with C++/C, CUDA, DirectX, or OpenGL in addition to Python, PyTorch and TensorFlow.Dedication to producing high quality and creative resultsWays to stand out from the crowd:You are a great communicator and self-motivated towards team goalsYou welcome mentoring others around youSharp mathematics skillsWith competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the brightest people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you’re a creative and autonomous engineer with a real passion for technology, we want to hear from you.#deeplearning |
| Machine Learning Infrastructure Engineer, AutopilotTesla | Tesla | Palo Alto, California | https://ai-jobs.net/job/machine-learning-infrastructure-engineer-autopilot-2/ | The RoleAs a Software Engineer within Autopilot, you will work on reinforcing, optimizing and scaling our neural network training infrastructure. At the core of our self-driving capabilities, there are different neural networks that the Machine Learning team is designing to train large amounts of data. Robustly training jobs at scale, should it be for production models or quick experiments, and completing them in the shortest amount of time possible, is critical to our mission. ResponsibilitiesWrite robust Python software code in our machine learning training repository while applying best software practices to support machine learning scientists in tasks such as fetching training data, preprocessing it, and orchestrating the training runs.Integrate the training software into our continuous integration cluster to support metrics persistence across experiments, weekly/nightly neural network builds, and other unit / throughput tests.Profile performance of training software in our training cluster, identify bottlenecks in and between CPU/GPU code execution, and work on optimizing its throughput and scalability within and across nodes to ultimately reduce convergence time.Coordinate with the team managing the hardware cluster to maintain high availability / jobs throughput for Machine Learning. RequirementsStrong computer science & programming skills (Python and/or C/C++)Proficient in system-level software, in particular hardware-software interactions and resource utilizationUnderstanding of modern machine learning concepts and state of the art deep learningExperience working with training frameworks, ideally PyTorchDemonstrated experience scaling neural network training jobs across clusters of GPU’sOptional: Experience programming in CudaOptional: Profiling and optimizing CPU-GPU interactions (pipelining compute/transfers, etc)Optional: Devops experience, in particular dealing with clusters of training nodes, and filesystems for very large amount of training data |
| Machine Learning Scientist, AutopilotTesla | Tesla | Palo Alto, California | https://ai-jobs.net/job/machine-learning-scientist-autopilot-2/ | The RoleAs a member of the Autopilot Vision team you will research, design, implement, optimize and deploy models and algorithms that advance the state of the art in autonomous driving. A strong candidate will ideally possess at least one strong expertise in the following areas, and at least a basic familiarity in others. ResponsibilitiesTrain machine learning and deep learning models on a computing cluster to perform visual recognition tasks, such as segmentation and detectionDevelop state-of-the-art algorithms in one or all of the following areas: deep learning (convolutional neural networks), object detection/classification, tracking, multi-task learning, large-scale distributed training, multi-sensor fusion, etc.Optimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently on an embedded device RequirementsSolid understanding of linear algebra, algorithms, machine learning, optimization, numerical methodsExcellent Python coding, strong engineering practices, debugging/profiling skills, familiarity with multi-threaded programmingExperience with data science tools including Python scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks, bash scripting, Linux environmentExperience with at least one main stream deep learning frameworks, including TensorFlow, PyTorch, Caffe(2), MXNetExperience with computer vision or robotics libraries (e.g., OpenCV, PCL, ROS)Experience with CUDA/OpenCL, OpenGL a plus |
| PhD – Bayesian Inference with GANsRobert Bosch | Robert Bosch | Renningen, Germany | https://ai-jobs.net/job/phd-bayesian-inference-with-gans/ | Company DescriptionDo you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology – with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.The Robert Bosch GmbH is looking forward to your application!Job DescriptionGenerative Adversarial Nets (GANs) are the state-of-the-art of unsupervised learning. They owe their success to their genuine game-theoretic learning principle, which yields a powerful tool to formulate complicated learning tasks in an intuitively simple way. Differently from the orthodox learning approaches, it is not straightforward, if possible at all, to express the eventual task the GAN learns as a loss function. Hence, it is equally difficult to derive Bayesian variants to draw probabilistic conclusions. This PhD project aims to develop novel GAN variants with Bayesian inference capabilities such as expressing arbitrarily complex data sets with probability densities, enabling access to the latent manifold on out-of-sample observations, and quantifying the model fit. During your PhD you will be part of an academically active machine learning basic research team at the Bosch Center for Artificial Intelligence (BCAI, www.bosch-ai.com). Help shape the future: You are responsible for the creative and pro-active development of new theoretical machine learning concepts and algorithms that enable Bayesian inference with GANs. Take responsibility: Prototypical algorithm implementations and benchmarking on real-world data sets will be part of your PhD thesis. Reliable implementation: You publish your results in top-tier conferences (ICML, NeurIPS, AISTATS, UAI, etc.) and journals (JMLR, PAMI, etc.). Experience cooperation: Your tasks will include literature screening and building close contact with the academic community. Networked communication: Right from day one you participate to the academic interactions within the BCAI research team.QualificationsEducation: Degree (master) in machine learning, mathematics, statistics, physics, computer science or related fields with excellent gradesPersonality: Intrinsic motivation for top-level research and scientific independenceExperience and Knowledge: Excellent theoretical skills proven by top course grades, general knowledge of machine learning, prior experience on scientific writing and prior knowledge on Bayesian inference is a plusLanguages: Fluent in English written and spokenAdditional InformationThe final Phd topic is subject to your university.Duration: 3 years |
| Machine Learning EngineerMailchimp Your business was born for this. | Mailchimp Your business was born for this. | Atlanta, GA | https://ai-jobs.net/job/machine-learning-engineer-65/ | Mailchimp is a leading marketing platform for small business. We empower millions of customers around the world to build their brands and grow their companies with a suite of marketing automation, multichannel campaign, CRM, and analytics tools.The Machine Learning (ML) Engineering team builds applications that empower Mailchimp customers to understand and exploit their data. The team also builds tools and infrastructure that empower Mailchimp’s own data scientists. By using predictive analytics and big data technologies, we help Mailchimp fight spam and empower small businesses with information. As part of Mailchimp’s Engineering team, we work closely with Mailchimp’s data scientists to make data insights actionable. Mailchimp is looking for an engineer to join our team. You will collaborate with data scientists to develop and deploy predictive models. You will also work with application engineers to use those models’ predictions within the Mailchimp platform.If you are a self-directed, experienced engineer who believes in demonstrating how data can be used to help our customers, we’d love to hear from you. What you’ll do: Collaborate with product managers, data scientists, and application engineers to create, deliver, and maintain end-to-end features based on machine learningDesign, develop and deploy high quality data/ML pipelines and services using Python, Google BigQuery, Docker, Kubernetes, and other Google Cloud servicesKeep abreast of developments in the field: frameworks, libraries, best practicesEmbrace and demonstrate our values: humility, creativity, and independence We’d love to hear from you if:You have worked closely with data scientists and other engineers to deliver features backed by data science and machine learningYou have development experience in Python or another modern, high-level object-oriented language (e.g. Java, PHP)You have experience with SQL databases or data processing frameworks. We write a lot of SQL ourselves (ORMs aren’t that relevant for data science).You adhere to internal coding standards, development processes, and design best practicesYou ensure quality by performing thorough testing and leveraging peer reviews for your work and the work of othersYou embrace and demonstrate our values: humility, creativity, and independence Experience that is nice to have:Working on ML projects or applicationsGoogle BigQuery or similar tools like Amazon Redshift or SnowflakeDistributed programming frameworks, e.g. Apache SparkGoogle Cloud Dataflow or similar frameworks like Amazon Kinesis, MapReduce, Apache Storm, Apache Samza, Apache, Flink, Kafka Streams…Understanding of statistical analysis and machine learning techniquesPython packaging and distributionContinuous integration and delivery, e.g. JenkinsDocker and/or KubernetesKeras, TensorFlow, and/or other machine learning/deep learning systemsApache Spark Mailchimp is a founder-owned and highly profitable company headquartered in the heart of Atlanta. Our purpose is to empower the underdog, and our mission is to democratize cutting edge marketing technology for small business. We offer our employees an exceptional workplace, extremely competitive compensation, fully paid benefits (for employees and their families), and generous profit sharing. We hire humble, collaborative, and ambitious people, and give them endless opportunities to grow and succeed.We love our hometown and support sustainable urban renewal. Our headquarters is in the historic Ponce City Market, right on the Atlanta Beltline. If you’d like to be considered for this position, please apply below. We look forward to meeting you!Mailchimp is an equal opportunity employer, and we value diversity at our company. We don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. |
| Data Science InternXPO Logistics, Inc. | XPO Logistics, Inc. | Chicago, IL, US, 60601 | https://ai-jobs.net/job/data-science-intern-9/ | Logistics done differently.At XPO Logistics, we’re out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. Our Technology Associates are on the cutting edge of that transformation. As an intern, you will have the opportunity to explore what’s next in IT, software engineering, cybersecurity, QA, data science, UX/UI and more. We take pride in helping our employees grow and learn. Become the technology leader you’re meant to be, by building tomorrow’s technology today. Pay, benefits and more.We are eager to attract the best, so we offer competitive compensation. This 10-12 week summer internship program will take place in Chicago, IL during summer 2020. What you’ll do on a typical day:Report to the Director of Software Engineering Partner with leadership and product managers to understand business needs and align those to potential data and analytics effortsGather and integrate data from various sources for data wranglingIdentify, analyze and interpret trends, patterns and relationships in complex data sets and to build machine learning modelsPrepare findings in a professional manner, presenting on results and providing actionable insights and recommendations to leadershipPromote a data-driven culture through an ongoing partnership and dialog with the businessWhat you need to succeed at XPO:At a minimum, you’ll need:Background or education in a related field 2 years of relevant courseworkIt’d be great if you also have:Class status as a junior (3rd year) or greater Proficiency with SQL, Python and TensorflowStrong knowledge of statistics and experience using statistical modeling to solve business problems Knowledge of statistical modeling techniques, including linear/logistic regression (advanced predictor selection techniques), classification (decision trees, random forests), Support Vector Machines (SVMs), neural networks, etc. Ability to be open-minded and receptive to feedback in an intellectually rigorous environment Strong analytical skills with the ability to collect, organize, analyze and disseminate information with attention to detail and accuracy Ability to identify and resolve problems Good verbal and written communication skills; excellent organizational skills with the ability to multitaskBe part of something big. XPO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make XPO a great place to work. We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Nearest Major Market: Chicago |
| Senior Research ScientistAllen Institute for Artificial Intelligence (AI2) | Allen Institute for Artificial Intelligence (AI2) | Seattle, WA | https://ai-jobs.net/job/senior-research-scientist-4/ | The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking post docs and Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.Position SummaryAI2 currently has projects in the following areas:Deep LearningLanguage and VisionInformation extraction and semantic parsingQuestion answeringLanguage and reasoningMachine learning and theory formationSemantic searchNatural language processingDiagram understandingVisual knowledge extraction and visual reasoningAnd more…We are seeking Senior Research Scientists who are creative, visionary thinkers and passionate about making major impacts in their field. At AI2, Senior Research Scientists at AI2 provide scientific leadership, define and conduct ground-breaking research, have the opportunity to lead small teams, and help drive and refine AI2’s mission in an exciting, fast-paced research environment. They also have the opportunity to take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.About AI2The Allen Institute for Artificial Intelligence is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of AI2 is to contribute to humanity through high-impact research in artificial intelligence.Why AI2In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:We are a learning organization — because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.We value diversity — We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.We value inclusion — We understand the value that people’s individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.We emphasize a healthy work/life balance — we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.We are collaborative and transparent — we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.We are in Seattle — and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.We are friendly — chances are you will like every one of the 100+ (and growing) people who work here. We do.AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. |
| Machine Learning Intern (Summer 2020)Mozilla A non-profit with one mission: defend the free and open web | Mozilla A non-profit with one mission: defend the free and open web | Berlin | https://ai-jobs.net/job/machine-learning-intern-summer-2020/ | Team:Emerging TechnologiesLocations:BerlinMozilla is hiring a Machine Learning Intern for our Emerging Technologies team. Emerging Technologies is Mozilla’s early research and development organization focused on the areas of voice assistants, speech and language, and mixed reality. Our headquarters are based in the Bay Area, but this internship opportunity is at our Berlin Office.We are engineers, designers, makers, and problem solvers. We work in the fishbowl known as the open source community, with a clear focus on making the Web better. Working with us, you’ll help build interesting new features, improve Mozilla products, and explore new product directions. To be part of the team, we ask that you be user centered, technically-curious, and excited to be moving the Mozilla mission forward.As a part of our Mozilla Internship Program, you will:Impact challenging projects in our Firefox web browser (accessibility, voice design, developer tools, mobile, and mixed reality), Rust, Pocket, and moreBe mentored by a fellow teammate and someone who shares the same valuesDo real work on real projects and make contributions that will impact hundreds of millions of usersParticipate in social events with your fellow interns (amusement parks, ice cream and boba socials, board game nights, escape rooms, and painting parties)Meet with Mozilla leaders including our CEO, Executive Chairwoman, CPO, Chief R&D Officer, CMO, and Executive Foundation DirectorPresent your work to Mozilla leaders and fellow team membersPerks include:Market competitive payCatered lunches, snacks, and drinksHousing service or housing stipend provided Flights and ground transportation to and from internshipWork visas sponsoredAttendance at our bi-annual All Hands MeetingApplication and Interview ProcessRecruiting begins in September, and we hire on a rolling basis through March. While there is no set application deadline, we do have a limited number of positions open each year, so please apply early!Locations include Mountain View, San Francisco, Toronto, Berlin, and Paris. Please refer to our internship listings for specific locations offered by position.Process starts with a resume review followed by a HackerRank challenge (technical) or document submission (non-technical).Upon passing, you will partake in two technical and behavioral interviews with team members (coding and situational questions are fair game) followed by a hiring manager interview and ultimately, an offer decision. We have a position open on the following team:Deep Learning TTS Research Engineering Intern (Berlin, Germany)We are a small team tackling machine learning’s toughest problems. Primarily concentrating on deep learning algorithms, we tackle problems related to STT (speech to text), TTS (text to speech), NMT (neural machine translation), NLU (natural-langue understanding), and more. We’re looking for an intern to work on deep learning TTS algorithms and to improve Mozilla’s TTS system.Basic Qualifications: Currently enrolled in a Master’s or PhD program in Computer Science, Computer Engineering, or a related technical discipline with a focus on software development Must be currently enrolled in university with graduation dates starting December 2020 and onward or have graduated from a Coding Academy within last year Preferred Qualifications: Proficiency in Python, Unix/LinuxExperience with TensorFlow Up to date on the latest deep learning research A thorough understanding of deep learning algorithms Technical fluency—ability to clearly discuss algorithms, architectures, and trade-offs Experience in systems software and algorithms Understanding of Web Tracking, Machine Learning or Cryptographic conceptsAbility to quickly learn and be effective with a large code base Experience with writing and publishing academic papers Excellent research and writing skills Strong communication and social skills Reasonable fluency in and passion for technology Strong analytical and critical thinking skills Familiarity with how to access and employ a variety of resourcesAbility to interpret large amounts of data, multi-task, and produce results independently and collaboratively in a team Note that this is a long wishlist of qualifications: if you feel you have some but not all of these skills, but you are interested, please do apply anyway. Please include a cover letter describing your research topic and/or dissertation topic and relevant project choice/area of interest. About Mozilla Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. Join us and become part of our mission to promote openness, innovation and opportunity online.Mozilla is committed to Equal Employment Opportunity throughout our recruiting and hiring process and is dedicated to increasing diversity in our workplace. |
| Research Staff Member AI / Machine learningIBM | IBM | Zurich, Switzerland | https://ai-jobs.net/job/research-staff-member-ai-machine-learning-3/ | About the positionDo you have expertise in, and passion for AI, machine learning and their innovative applications in business? Would you like to work with multi-disciplinary teams on solving some of the most exciting industrial and scientific challenges? Then you might be the person we are looking for.RequirementsPhD in artificial intelligence (AI), machine learning or related areas with a proven track record in developing and publishing innovative ideas in world-class conferences and journalsSolid experience in software developmentStrong research and scientific skillsPrior experience in developing and deploying AI systems in the real world would be highly desirablePost-doctoral experience is desired but not necessaryDiversityIBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable both women and men to strike the desired balance between their professional development and their personal lives. |
| Machine Learning Research ScientistRobert Bosch | Robert Bosch | Pittsburgh, PA 15222, USA | https://ai-jobs.net/job/machine-learning-research-scientist-3/ | Company DescriptionThe Bosch Group operates in most countries in the world. With over 400,000 associates, a career at Bosch offers a chance to grow an exceptional career in an environment that values diversity, initiative and a drive for results.Job DescriptionDevelopment of novel Deep Learning algorithms, implementation and evaluation using multi-modal Bosch data from application areas such as autonomous driving, robotics, and Internet of ThingsOriginal research, theoretical investigations, publications at top Machine Learning conferences and journalsClose contact to the scientific Machine Learning community, scouting and assessment of new approachesTechnical discussions and creation of new ideas within the existing Deep Learning research teamSupervision of Master and PhD studentsQualificationsBasic QualificationsPhD in Computer Science, Data Science, or Mathematics2+ years programming experience, in particular Python2+ years experience in development and implementation of Deep Learning technologiesPreferred QualificationsExperience with Deep Learning frameworksEstablished publication record in Machine Learning or related fieldBroad knowledge of Machine Learning algorithms and principlesExperience defining personal research roadmapAdditional InformationBOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) InitiativesFIRST Robotics (For Inspiration and Recognition of Science and Technology)AWIM (A World In Motion)By choice, we are committed to a diverse workforce – EOE/Protected Veteran/Disabled. |
| Scientific Researcher (f/m/d) on Artificial Intelligence for Autonomous Perception – AI Residency ProgramSiemens | Siemens | Muenchen, Germany | https://ai-jobs.net/job/scientific-researcher-f-m-d-on-artificial-intelligence-for-autonomous-perception-ai-residency-program/ | Break out of the comfort zone. AI impacts our lives in all areas. Algorithms such as “Alpha-Zero” show the power of how autonomous and rapid systems can both learn and adapt. The automation of today’s industrial processes is driven by robotic systems, that are programmed to perform repetitive tasks. Yet one major hurdle we face in the adoption of robotics, including the perception, is the engineering – an area which requires a lot of knowledge and experience. With your help, this is what we seek to overcome. Intrigued by the idea that the engineering can be automated, and machines can adapt themselves to new situations? So are we! With the AI Residency Program, we offer the opportunity to launch your career in applied Artificial Intelligence research and inspire change with AI in the industrial sector. In this 9-month program you will challenge fundamental problems of Industrial AI as part of our ecosystem – with access to a unique pool of experts from the industrial domain and a platform to present your work to business owners from all business areas of Siemens.If you want to make a difference, make it with us.Develop and apply state of the art AutoML, RL or other methods to auto engineer and configure software for state estimation and perception for robotic systemsBenefit from a network of experts from a wide range of Siemens domain (AI, robotics or applications) to discuss your ideas and drive your researchApply the results to real robotic applications. Example: A flexible bin picking systems that adapts to various sensors and objects such as textured/un-textured, reflective, symmetric, etc.Publish and present your results in renowned international conferences (e.g. NeurIPS, AAAI, ICCV) and among Siemens businessesWe are looking for those who want to take on the challenges of tomorrow.Completed or started your PhD in machine learning, computer science, mathematics or engineeringResearch is your passion with a proven scientific record and experience in automated machine learning, AutoML tooling, classical AI planning and scheduling or related technologies for auto engineeringAs ambitious software developer you bring expertise in Python and C++ (optional) to the tableThe perception and image processing problem domains are familiar to youYou are a creative team player who speaks proficient EnglishTake a glimpse into previous analysis. Vincent, our colleague, research focuses on automated object perception and is happy to share gained insights. The Siemens AI Lab is a collaborative interdisciplinary platform for industrial research and exploration in Artificial Intelligence. Together with technology experts we identify use cases and prototype the cutting-edge AI solutions of our future industry. Located in the heart of Munich, we provide room for an open exchange with our AI ecosystem through Hackathons, Meetups & Open Events. Make your mark in our exciting world at Siemens! +49 (9131) 17-1717 – if you wish to discuss any initial questions with our recruitment team.www.siemens.com/careers – if you would like to find out more about jobs & careers at Siemens.As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. |
| Research Engineer – Machine Learning for Autonomous Driving BehaviorRobert Bosch | Robert Bosch | Austin, TX, United States | https://ai-jobs.net/job/research-engineer-machine-learning-for-autonomous-driving-behavior/ | Company DescriptionRobert Bosch LLC is an international, non-profit-owned company with ~$85B revenue per year. Many know it best for its appliances and power tools, but Bosch also happens to be the largest automotive supplier in the world, with its vehicle subsystems in nearly 100% of vehicles being made today. Bosch offers just about every subsystem that goes into a car today, from windshield wipers to engine control units. It already sells or is developing every sensor and in-car computer required for an autonomous vehicle. Bosch has advanced projects at various levels of autonomy, from driverless Level 4 down to driver assistance products that are already in production vehicles, such as automatic emergency braking and lane-keep assist.The Austin office offers an R&D experience that’s heavy on the R. We have the flexibility to apply machine learning to existing driver assistance products that are already saving lives on the road, to apply it to Bosch’s full autonomy projects, and to conduct peer-reviewed research collaborations with UT Austin and other top academic institutions that focus on any level of autonomous driving systems.We pay competitive salaries in a vibrant city that’s comparatively affordable to live in. We are dedicated to creating a diverse Austin team and a family-friendly work culture.In short, we find and work on high-impact autonomous driving problems at Bosch that have not necessarily been viewed yet through the lens of a machine learning researcher.Job DescriptionIf hired, you will be our first research engineer at the new Bosch Austin site. The site is embedded in the University of Texas at Austin’s Computer Science Department, with offices in the CS Department’s beautiful new Gates Dell Complex.You will conduct applied R&D and contribute software to Bosch autonomous driving platforms. You will also collaborate with UT Austin researchers on peer-reviewed research and associated publications. And you will work with us to identify projects that are a strong fit for our group.We want to hear from you if you are adept at bridging between fundamental research results and specific applications of those results, can lead an R&D team on the core software development aspects of its work, enjoy collaborating and communicating about your work, and are comfortable moving between settings of fundamental research and applied R&D.ResponsibilitiesCollaborate on research projects involving the usage of machine learning to improve state-of-the-art autonomous driving and driver assistance systems. Research activities will span collaborating on fundamental topics—where autonomous driving may only be one application of your work—and leading applied topics.Develop, implement, and evaluate algorithms that can be applied to existing Bosch autonomous driving projectsSupport fundamental research projects through software design and programmingContribute to the writing and publication of peer-reviewed researchBecome part of the UT Austin Computer Science community, attending research group meetings and lectures as well as discussing ideas with university colleaguesBecome an expert on the application to projects within Bosch of machine learning for decision making, including adapting research code to be application compatibleQualificationsBasic Qualifications:Graduate degree with a focus on robotic learning, reinforcement learning, learning from demonstration / behavioral cloning / imitation learning, or planning for navigationPreferred Qualifications:PhD in one of the fields listed aboveStrongly preferred: Excellent communication skills, both written and verbalStrongly preferred: Expert in general software development within complex system architectures and varied toolsetsStrongly preferred: Adept at C++ or Python programming in the context of machine learning developmentStrongly preferred: Past publication in related fieldsWidely networked with other researchers in related fieldsExperience designing and implementing deep learning algorithms for sequential decision-makingIndustry R&D experience in a related fieldKnowledge of common automated-driving algorithms, including algorithms for perception and behavior generationKnowledge of driver assistance technologiesMore general expertise in automotive systems: experience with vehicle and system test-release procedures in automotive or related industries; experience in embedded automotive systems; and understanding of vehicle architecture and vehicle interfacesExperience testing algorithms on real vehiclesAdditional InformationBy choice, we are committed to a diverse workforce – EOE/Protected Veteran/Disabled.BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics)Initiatives:FIRST Robotics (For Inspiration and Recognition of Science and Technology)AWIM (A World In Motion) |
| Machine Learning Research ScientistButterfly Network | Butterfly Network | New York, NY, USA | https://ai-jobs.net/job/machine-learning-research-scientist-4/ | Company DescriptionButterfly Network is reinventing medical imaging and championing a new era of healthcare by creating the first ever pocket-sized, whole-body ultrasound device – the Butterfly iQ. This breakthrough technology has reduced the cost of the traditional ultrasound system by miniaturizing it onto a single semiconductor silicon chip. Our mission is to democratize healthcare by making medical imaging accessible to everyone around the world.Since inception, Butterfly has raised over $375 million. The iQ is FDA-cleared and is being sold in hospitals and clinics around the globe.Joining Butterfly Network is the opportunity to redesign the future of healthcare through the power of technology. Embark on a journey with us to maximize global impact, motivated by the idea that our products will change the lives of millions along with the people you love. Job DescriptionWe’ve built a strong research team and are looking for talented Research Scientists with applied experience in the fields of Computer Vision and Machine Learning to join us. This role is best suited for scientists interested in continuing to develop new machine learning algorithms while also having a direct and immense, real-world impact.As part of our team, your core responsibilities will be: You’ll work alongside other research scientists, software engineers and a world-class clinical team to help develop a new suite of “intelligent” medical products.You’ll train various deep learning models including, but not limited to, classification, detection, segmentation, and generative adversarial networks.You will spend time developing new machine learning algorithms while keeping abreast of the latest advances across various labs and conferences.You’ll develop automated solutions for large-scale, patient-facing, clinical problems.QualificationsBaseline skills/experiences/attributes:Experience in Computer Vision, Machine Learning or Data MiningProgramming experience in one or more of the following: TensorFlow, PyTorch, Caffe.Ability to design and execute on research agenda.Ideally, you also have these skills/experiences/attributes (but it’s ok if you don’t!):MS or PhD in Computer ScienceRelevant work experience, including full time industry experience as a researcher in a labContribution to research communities and/or efforts, including publishing papers at conferences such as CVPR, NIPS, MICCAI etc.Additional InformationWe offer great perks: Fully covered medical insurance plan, and dental & vision coverage – as a health-tech company, we place great worth on our teams’ well-beingCompetitive salaried compensation – we value our employees and show it Equity – we want every employee to be a stakeholderPre-tax commuter benefits – we make your commute more reasonable Free onsite meals + kitchen stocked with snacks.401k plan – we facilitate your retirement goalsBeautiful office overlooking the Flatiron building in NYC The opportunity to build a revolutionary healthcare product and save millions of lives! For this role, we provide visa assistance for qualified candidates. Butterfly network does not accept agency resumes.Butterfly Network Inc. is an E-Verify Company and is an equal opportunity employer regardless of race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines. |
| Senior Data EngineerManulife | Manulife | Hong Kong, HK | https://ai-jobs.net/job/senior-data-engineer-7/ | Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.Job DescriptionAre you interested to work for a large multinational that puts people first and where showing your humanity is truly valued? Manulife has a strong culture of transparent communication and teamwork, with empowerment and working flexibility embedded in our culture.We fully embrace open source and AI technology. Manulife believes great ideas can come from anywhere and anyone, we are looking for talented technologists who want to use their passion and interests to work with other passionate and diverse individuals to help us become a digital customer leader. Our employees are able to develop their career and skill set to executive levels without stepping away from the frontline of technological innovation through our IT Careers Framework, Manulife University and Pluralsight, our technology skills platform.Manulife is also committed to adopting Agile as a mindset across our businesses. If new ways of working with beer and pizza fueled hackathons, an innovative approach to problem solving, change, process, system improvement and continuous learning excite you, then please do get in touch. It’s also important to note that we welcome IT talents with a non IT background, even a degree is not a must have, if you’re excited by the proposition and you think you’ve got what it takes – follow the link!Key Accountabilities:Individual Accountabilities:• Create standardized data engineering frameworks for data integration – ELT/ETL programs , design, plan and handle platform upgrade activities forour Enterprise Data Lake platform for Asia Data Office• Builds, codes, tests, maintain high quality software by working closely with QA team and country stakeholders• Perform POCs and generate valuable results together with new big data technologies based on team’s strategies.• Participates in Agile sprints and ceremonies; supports rapid iteration and development• Translates user requirements into software requirements• Develops, maintains, and tests data pipelines, application framework, infrastructure for data generation; works closely with information architects and Data Scientists• Experience initializing and managing cloud platforms: AWS, Azure etc• Builds code to specifications and standards• Builds and codes moderately complex software• Minimal time coaching teammates• Contributes code across BUs• Has positive impact to specific organizational entities & has some understanding of the nature of the impact• Usually a top contributor to team’s success• Designs and implements data architectures in production environments• Implements data orchestration pipelines, data sourcing, cleansing, augmentation and quality control processes• Translates business needs into data architecture solutions• Contributes to overall solution, integration and enterprise architectures• Develops data landscape modernization architectures and roadmaps• Deploys machine learning models in productionJob Requirements:• Hands on Big data engineering skills i.e Apache Nifi, Hive, Hbase, Hdfs and data streaming tools including kafka, Spark…etc• Familiarity with agile and DevOps principles, test-driven development, continuous integration, and other approaches to accelerate the delivery of new features• Familiar with platform technologies i.e HDP, HDF or any big data platform equivalent• Understanding of software development lifecycle• Understanding of how technology supports Manulife business strategy• Familiar with modern software architectures and API-driven development• Familiar with traditional database technologies such as: Oracle, MySQL, Postgres, Hadoop, Spark• Familiar with technologies such as: Cloudera, Nifi, Hbase, Hive..etc• Demonstrates all core skills, and good interpersonal skills for the role• Good working and background knowledge of area of practice• Use and combine knowledge of the discipline and the market to formulate the right approach• Participates in functional demos utilizing new tech; designs own control structures• Fit for purpose, though may lack refinement• Sees actions partly in terms of longer-term goals• Understands the corporate climate & culture• Strong knowledge of the business• Understanding of relational and warehousing database technology working with at least one of the major databases platforms (e.g., Oracle, SQLServer, Teradata, MySQL, or Postgres)• Practical experience with big data processing frameworks and techniques such as HDFS, MapReduce, Storage formats (Avro, Parquet), Stream processing, etc.• Solid working knowledge of data processing tools using SQL, Spark, Python or similar open source and commercial technologies• Knowledge of Spark, Java/Scala especially in relation to big data open source software preferred; knowledge of NiFi• Knowledge of NoSQL (HBase, MongoDB) databases preferred• Experience with integrating to back-end/legacy environments• Knowledge and familiarity with machine learning models application and production pipelines• BSc in Computer Science, Statistics, Informatics, Information System, Mathematics or equivalent quantitative field preferred• Collaborative attitude, willingness to work with team members; able to coach, participate in code reviews, share skills and methods• Constantly learns from both success and failure• Good organizational and problem-solving abilities that enable you to manage through creative abrasion• Good verbal and written communication; able to effectively articulate technical vision, possibilities, and outcomes• Experiments with emerging technologies and understanding how they will impact what comes next.Decision Authorities:• Able to achieve most tasks using own judgement• Can lead smaller groups where required• Drives 50% of the time in paired programming• Good analytical skills, copes with complex situations through deliberate analysis and planningIf you are ready to unleash your potential, it’s time to start your career with Manulife/John Hancock. About Manulife Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2018, we had more than 34,000 employees, over 82,000 agents, and thousands of distribution partners, serving almost 28 million customers. As of December 31, 2018, we had over $1.1 trillion (US$794 billion) in assets under management and administration, and in the previous 12 months we made $29.0 billion in payments to our customers. Our principal operations in Asia, Canada and the United States are where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as ‘MFC’ on the Toronto, New York, and the Philippine stock exchanges and under ‘945’ in Hong Kong. Manulife is committed to supporting a culture of diversity and accessibility across the organization. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request an accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially. |
| Data Scientist, Machine Learning and AIBell Canada | Bell Canada | Montreal, QC, CA | https://ai-jobs.net/job/data-scientist-machine-learning-and-ai/ | At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate. If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team. Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property. Bell’s Business Intelligence Data Science team is responsible for the Machine learning/ AI strategy into Customer Operations. We are looking for a Data Scientist who has practical experience with machine learning techniques and applications. The successful candidate will help us define, build, and maintain machine-learning models and products which provide business value with a focus on customer experience and simplifying agent processes. Our mission is to enable the customer operations team at Bell to iterate quickly on hypotheses, and efficiently productionize impactful machine learning applications. In this role you will work cross-functionally with devops and data engineers across the organization to enable Bell to use machine learning to drive business decisions. Key responsibilities:Build and implement strategies for ML driven projectsLead the development of machine learning products/ models from inception to productionCollaborate with cross functional teams of data engineers, ML experts, and project managers in solving business problemsUse a production-first mindset to consult on project feasibility through prototyping with respect to performance, time, quality and costIdentify areas for AI/ ML opportunities in call center operationsDemonstrate to internal clients how machine learning can improve their businessMaintain and expand your knowledge of ML/AI and current technology through training opportunities, conferences, continued learning, MOOCs etc. Required competenciesYou have development experience with at least one general programming language (e.g. Python, C/C++, Java)You have previous industry experience with ML frameworks/ libraries (e.g. Scikit-learn, PyTorch, SparkML, Keras, Tensorflow, numpy, pandas)You have practical experience with ML algorithms and techniques: deep learning, reinforcement learning, regression, SVM, decision trees etc. and mathematical understanding of themHaving practical experience with NLP frameworks/libraries e.g. Gensim, SpaCy is a plusYou preferably have experience with data processing and storage frameworks like Hadoop, Spark, Redis, HBase, Kafka, etc.You are self-motivated and can demonstrate enthusiasm via personal projects, Kaggle competitions, publications, or presentations at meetups/conferencesSkilled communicator with a proven record of leading projects across disciplines Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec. |
| Rendering & Machine Learning Research Intern – GPUNVIDIA | NVIDIA | Switzerland, Zurich | https://ai-jobs.net/job/rendering-machine-learning-research-intern-gpu/ | Today, we stand at the beginning of the AI computing era, ignited by a new computing model, GPU deep learning. This new model—where deep neural networks are trained to recognize patterns from massive amounts of data—has shown to be deeply effective at solving some of the most complex problems in everyday life.In this context, we are looking for a Rendering & Machine Learning Research Intern.You will be working with us on investigating the application of deep- and other machine-learning techniques to physically based rendering—the synthesis of realistic images by simulating the propagation of light through the virtual world. We leverage machine learning to increase the efficiency and quality of rendering algorithms with the ambitious eventual goal of a photorealistic real-time rendering engine.What you’ll be doingInventing novel algorithms that live on the intersection of light-transport simulation and machine learning, together with other researchers.Prototyping and evaluating these algorithms.Documenting your progress with the possibility of eventually publishing at an international conference.What we need to seeYou are pursuing a PhD in Computer Science or a related field.You have a strong background in computer graphics.You are familiar with Monte Carlo integration methods.You are familiar with general concepts of machine learning as well as neural networks.You have experience programming in C++ (ideally also in CUDA) as well as in Python.Dedication to mathematical correctness and high-quality software.Ways to stand out from the crowdYou possess a real passion for rendering and/or machine learning.Familiarity with a popular research renderer (e.g. Mitsuba, PBRT, or Tungsten) and popular machine-learning frameworks (e.g. TensorFlow, PyTorch, SciKit Learn).A track record of open-source projects, e.g. as part of university courses or as a hobby.Existing publications at international conferences in either computer graphics or machine learning.Strong expertise in machine learning.Strong written, verbal, or mathematical skills.At NVIDIA, our employees are passionate about parallel and visual computing. We’re united in our quest to transform the way graphics are used for work and play. Our technology impacts the visual experience in video game development, film production, space exploration, medicine, computational finance and automotive design. And we’ve only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-‐working and creative people to help us seek some of these unrivaled opportunities.With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are growing fast.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, colour, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning |
| Senior Research Scientist, Deep Learning – AINVIDIA | NVIDIA | Santa Clara, CA, USA | https://ai-jobs.net/job/senior-research-scientist-deep-learning-ai/ | We are now looking for a Senior Deep Learning Research Scientist:NVIDIA is searching for a world-class researcher in deep learning to join our applied research team. We are passionate about deep learning applied to computer vision, audio, text and other domains, with the goal of improving specific problems encountered in NVIDIA’s products. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products. If you’re interested in researching and applying the latest advances in the deep learning revolution to solve real-life problems, this team may be an outstanding fit for you!What you’ll be doing:Conceive deep learning approaches to solving particular product problems.Construct and curate large problem-specific datasets.Design and implement machine learning techniques aimed at solving specific problems.Transfer your technology to product groups.Keep up with the latest DL research and collaborate with diverse teams (internal and external to NVIDIA), including DL researchers, hardware architects, and software engineers.What we need to see:PhD or equivalent experience in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Math, or related field with 4+ years of relevant work or lab/research experienceExcellent knowledge of theory and practice of machine learning.Excellent programming skills in some rapid prototyping environment such as MATLAB or Python; C++ and parallel programming (e.g., CUDA) is a plus.Knowledge of common machine learning frameworks.Track record of research excellence or significant product development.Knowledge of application areas such as computer vision or natural language processingStrong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, global team. A history of mentoring junior engineers and interns a huge plus.NVIDIA is increasingly known as “the AI computing company” and is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and collaborative with a passion for researching new application areas for applying deep learning and artificial intelligence? Come, join our Deep Learning Research team and help us invent the future of NVIDIA!NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning |
| Data Scientist / EngineerDeezer | Deezer | Paris, Île-de-France, France | https://ai-jobs.net/job/data-scientist-engineer/ | Company DescriptionBelieve in better.Deezer is a global music streaming service with over 53 millions of tracks and a leading presence in over 180 countries, with 14 million monthly active users. Behind the code and the pixels is our team of 500 music lovers, and we’re building something incredible together. Want in? If you’re looking for an adventure, not just a job, and you fancy seeing ideas come to life in a heartbeat, you’re in the right place.We believe in better product, better speed and better people.Job DescriptionWhat you will do:Be part of our data warehouse project, making data available to everyone at Deezer.Work closely with Tech, Product, Finance, Marketing… translating their needs into data projects, evangelize them on our methodology and follow-up on the delivered projects.Dig into our mountains of data (Hadoop Cluster: Hive/Spark,Python…) finding the needle in the haystack.Be one of our tech ambassadors: write functional and optimized codes (Spark/Scala, Python), help team members do the same, do technological watch, challenge our production pipeline and contribute to the test process.QualificationsWhat we are looking for:At least 5 years of experience of data science or computer science, with a degree in computer science, statistics, mathematics, or any quantitative discipline.Mathematical/machine learning background with the ability to understand & implement distributed algorithms.You already deployed machine learning modelling in production and were comfortable with the entire pipeline.Proficient with one or more of the following: Scala/Spark, Python. (Experience of functional code is not essential, but definitely a plus!)Affinity for business, product and user experience.Ability to clearly communicate data analyses results to end users.Interest in technology watch.Experience in Agile Processes, Test Driven Development and Framework design would be a plus.Additional InformationLife @ Deezer ParisStart-up environment and philosophy.Highly motivated and product-focused people ready to drive innovationHackathons & meetups.Friday drinks, summer and winter parties.A stocked kitchen with free drinks and snacks.Areas to relax and collaborate with beanbags, guitars and table football.An ‘at home’ vibe, with great outdoor spaces.Gym access at Deezer HQ, with lunch-time yoga, Pilates and boxing classes.If you feel like this is the right opportunity for you, press play!We are an equal opportunity employer. |
| Data Scientist, PrincipalXPO Logistics, Inc. | XPO Logistics, Inc. | Ann Arbor, MI, US, 48105 | https://ai-jobs.net/job/data-scientist-principal-2/ | Logistics done differently.At XPO Logistics, we invest hundreds of millions in technology every year so that we can continue to develop state-of-the-art solutions for our customers. Are you looking for an opportunity to take your career to the next level with a rapidly expanding global company? As the Principal Data Scientist, you will be responsible for leading and driving the overall design and development of end-to-end data science solutions to support strategic business and IT initiatives. You will also coordinate the execution of work across team members, guide architectural troubleshooting and communicate progress and results. Become a part of our growing, dynamic team and we’ll help you develop to a level that will exceed your expectations. Pay, benefits and more.We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan. What you’ll do on a typical day:Lead design and architect solutions for data science and data engineering projects; confirm delivery requirements and plan, track and communicate resources and delivery plan; assist with development work as neededUnderstand and improve data science standard patterns, templates and artifacts for platform architecture, data science development approaches, data models and new technology adoption and rolloutDefine patterns and share technical approaches and best practices among other developers; simplify and communicate completed work to broader audiences across the companyMentor other team members on technical skills, best practices, problem-solving approaches and standard patternsTroubleshoot technical issues in existing processes and current development work, solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelinesAllocate team resources across projects to balance the workload according to available capacity, planning dependencies and prevailing prioritiesCollaborate with IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution deliverySupport data consumers to ensure they have reliable access to trusted data, and provide occasional 24/7 on-call production support What you need to succeed at XPO:At a minimum, you’ll need:Master’s degree in Computer Science, MIS, Engineering, Business or a related field10 years of experience leading and delivering business solutions that rely on data science, Business Intelligence (BI), data warehousing or similar domainsSuccessful delivery of 10 or more projects in data science, data engineering or data integration as a tech lead/principalStrong understanding of the core principles of data science and machine learning; experience developing solutions using related tools and librariesAbility to analyze, summarize and characterize large or small data sets with varying degrees of fidelity or quality; able to identify and explain any insights or patterns within themSolid experience applying one or more of the following analytical methods: regression (preferably mixed models), data classification and reduction (cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniquesStrong understanding of and experience with advanced statistical theoretical knowledgeSolid experience in exploratory data analysis and visualization using R and Python (Numpy, Pandas, Scipy, Plotly, Matplotlib)It’d be great if you also have:Data Science specialization from Coursera, Udacity, Data Camp, etc., Certified Business Intelligence Professional from TDWI, Certified Data Management Professional from DAMA, and/or certifications in data modeling and data engineering10 years of hands-on experience in delivering solutions in at least two of the following areas: data science, data modeling, data integration or BI5 years of hands-on experience in delivering solutions in at least two of the following areas: data science, data analysis, geo spatial, finance, econometrics, Cloud computing, big data or database managementBe part of something big. XPO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make XPO a great place to work. We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Nearest Major Market: Ann Arbor Nearest Secondary Market: Detroit |
| Senior Data Scientist / Artificial Intelligence / Machine Learning / AI/ML ScientistThe Vanguard Group, Inc. | The Vanguard Group, Inc. | Malvern, PA, US | https://ai-jobs.net/job/senior-data-scientist-artificial-intelligence-machine-learning-ai-ml-scientist/ | Advance your career and our missionAs a Senior Data Scientist / Artificial Intelligence / Machine Learning / AI/ML Scientist, you will work with a highly innovative and vibrant team of Data Scientists in developing the next generation AI/ML enabled Financial Advice solutions for Vanguard. You will apply your analytics, artificial intelligence, machine learning, and cloud technologies knowledge to create foundations for the next generation of smart and cloud connected platform and services. This work will transform how financial advice is made accessible to the masses. With great freedom to innovate, you will play a leading role in world-class research that will drive the future of Vanguard’s artificial intelligence and machine learning. You will make a difference by leading and innovating new AI based systems and services that power our financial advice business. You will team up with business stakeholders to prioritize innovation ideas and work with other data scientists to develop and deliver breakthrough solutions. In addition, you will coach, mentor, and guide junior data scientists to help them excel and advance their career development.In this role you willYour Team:You will be working with a dynamic team of Innovators, AI engineers and data scientists that are at the forefront of AI/ML application for the company. You will be working at our Malvern Campus, focusing on researching and developing leading-edge analytics enabled solutions for our AI based financial Advice platform; including applying smart algorithms, machine learning, artificial intelligence, and cloud technologies. The team works closely with subject matter experts in investment methodology and economic theory.Vanguard has been changing the way the world invests for over 40 years, as a company we’re committed to improving the lives of our clients. We’re using AI and ML to create experiences and services that will help more people than ever reach their goals. As an Advice Principal Data Scientist you’ll be responsible for helping trail blaze AI/ML at Vanguard – some of the most important work we’ve ever done as a company.Your Challenge:You will be challenged to be influential and make a positive difference on a global scale, working on a team that is purely focused on AI/ML Research. Strong communication skills are essential to deliver your message globally across various stakeholders/teams with diverse backgrounds and focus areas spanning research, development, engineering, business, and management. You will be working in a very agile, dynamic environment leading/supporting ongoing activities while starting new ones. Therefore, success in this role requires excellent multitasking and time management skills. We look to you to surprise us in building breakthrough AI-enabled systems leveraging modern AI techniques to create value from the data collected and generated by our base systems. These AI enabled systems and services will allow us to provide highly individualized advice at a massive scale.You will apply your advanced data analytics, artificial intelligence/machine learning knowledge and experience to interact with stakeholders, identify new problems and opportunities, develop innovative propositions, contribute to intellectual property, and build and pilot first-of-its-kind demonstrators. You will play a strong role in shaping our agenda.What it takesPhD in Computer Science, Statistics, Machine Learning, Data Science, Electrical Engineering or related field, with 2+ years of experience in developing and implementing AI/ML related projectsStrong technical skills on machine learning/AI with proven track record. These technical skills include, but not limited to, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques, deep learning, supervised learning, unsupervised learningStrong technical knowledge on big data technologies, cloud, and opensource software toolsOutstanding track record of successful solutions design in the digital spaceExperienced in using AI/ML platforms, technologies, techniques (e.g. TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, etc).Proficiency with SQL and NoSQL databasesProficiency with scalable data extraction tools (e.g. Cassandra, MongoDB)Proficiency with Scala, Spark, Java and/or SASAbout VanguardWe are Vanguard. Together, we’re changing the way the world invests.For us, investing doesn’t just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you can get so much more in return. We invest with purpose – and that’s how we’ve become a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you.We want to make success accessible to everyone. This is our opportunity. Let’s make it count.Inclusion StatementVanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: ‘Do the right thing.’We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard’s core purpose.Our core purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. |
| Research Scientist, Medical ImagingDeepMind | DeepMind | London, UK | https://ai-jobs.net/job/research-scientist-medical-imaging-2/ | Over the past three years we’ve built a specialist team who know what it takes to deploy clinical tools in practice – engineers, clinicians, translational researchers and more. In that time, we’ve also made major advances in healthcare AI research: detecting eye disease more quickly and accurately than experts; planning cancer radiotherapy treatment in seconds rather than hours; and working to detect patient deterioration from electronic records.Our vision is for Streams to now become an AI-powered assistant for nurses and doctors everywhere – combining the best algorithms with intuitive design, all backed up by rigorous evidence. The team working within Google, alongside brilliant colleagues from across the organisation, will help make this vision a reality.We are looking for highly talented and driven individuals who want to be part of an exceptional team, work in an inspiring and collaborative environment, and join a company focused on ground-breaking technology with potentially extraordinary impact. The Team Our team of Research Scientists aren’t cloistered in a secret lab but are embedded throughout the organization, allowing them to set up large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, Research Scientists work on real-world problems using artificial intelligence, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. We encourage you to stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.Our team of researchers, many renowned in their respective fields, focus on aspects within Machine Learning, Artificial intelligence and Neuroscience, including but not limited to deep neural models, reinforcement learning algorithms and biologically inspired models with the overall goal of building powerful general-purpose learning algorithms. We are active in the wider research community through publications and partner with top academics. We have created a passionate and engaging culture, combining the best of academia and product led environments, providing a supportive balance of structure and flexibility. Our unique approach encourages collaboration across all groups and especially with the DeepMind Research team, leading to ambitious creativity and the scope for innovative breakthroughs at the forefront of research.Our aim is to build AI technologies and prove their positive social impact. We work with hospitals on mobile tools and AI research to help get patients from test to treatment as quickly and accurately as possible. Data security and appropriate handling of data is a top priority for our team and our interdisciplinary team of computer scientists and clinical researchers work closely together with hospitals, such as Moorfields Eye Hospital in London, to identify and solve the tasks that make a real difference. Responsibilities Design, implement and evaluate models, agents and software prototypesReport and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.Suggest and engage in team collaborations to meet research goals.Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.Support the strategic planning of the team by providing research leadershipMentor and support the team of research engineers across multiple projects About youMinimum qualifications:PhD in a technical field or equivalent practical experience.Strong knowledge in deep learningKnowledge and experience working with medical imaging dataPreferred qualifications:PhD in machine learning or computer science.Strong knowledge and experience in convolutional neural networksExperience working with deep learning methods for segmentation of medical imagesExperience in translating medical problems into machine learning problemsRelevant experience to the position such as post doctoral roles, a proven track record of publications, or deep neural network architectures.Competitive salary applies. We welcome applications from all sections of society. We are committed to equal employment opportunity regardless of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. |
| Machine Learning Research InternRobert Bosch | Robert Bosch | Pittsburgh, PA 15222, USA | https://ai-jobs.net/job/machine-learning-research-intern/ | Company DescriptionThe Bosch Research and Technology Center North America with offices in Palo Alto, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.Job DescriptionThe Bosch Center for Artificial Intelligence (BCAI) was founded in early 2017 to deploy cutting-edge AI technologies across Bosch products and services creating solutions that are “Invented for life.” This position will be in the BCAI team at the Bosch Research and Technology Center (RTC) in Pittsburgh, PA. This internship role focuses on the integration of computer vision algorithms with human intelligence and requires the following responsibilities:Development and deployment of novel Deep Learning algorithms, implementation and evaluation using multi-modal Bosch data from application areas such as autonomous driving and roboticsTechnical discussions and creation of new ideas within the existing Deep Learning research teamClean, efficient, and well-documented implementation of new deep learning methodsRuntime analysis and improvements of existing deep learning implementationsImprove efficiency with human in the loop Integration with web services Work with team members to solve the challenges in data annotation QualificationsBasic QualificationsPursuing a PhD or master degree in Computer Science, Data Science, Electrical Engineering, or Mathematics2+ years of programming experience, in particular Python2+ years experience in Machine Learning, or Deep Learning1+ years experience in with Deep Learning frameworks (PyTorch, Keras, or Tensorflow)Broad knowledge of Machine Learning algorithms and principlesFamiliarity with Linux Preferred QualificationsProficiency in Machine Learning algorithms and principlesEstablished publication record in Machine Learning or Computer VisionExperience with large scale datasets for autonomous driving: German Traffic Sign Recognition Benchmark, KITTI, Caltech Pedestrian benchmark, …Excellent communication skills Additional Information4 months of part-time or full-time Fall 2019 or Spring 2020 internship, OR 3 months of Summer 2020 internshipInternship duration is extendible. By choice, we are committed to a diverse workforce – EOE/Protected Veteran/Disabled.BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) InitiativesFIRST Robotics (For Inspiration and Recognition of Science and Technology)AWIM (A World in Motion) |
| Senior Artificial Intelligence EngineerKing | King | Stockholm | https://ai-jobs.net/job/senior-artificial-intelligence-engineer/ | Do you have an experimental approach to solving problems and equipped with a curious mindset? How about the combination of data, coding and creating AI/ML tools to help our teams enhance our players experiences? Then you could be our new, shiny, Senior AI Engineer!Your role within our KingdomYou´ll be part of a team of 13 Kingsters in the AI team (with roles as Product Owner, AI Engineers, Developers and Data Scientists) working closely together on multiple products. Our mission? Create products for advanced analytics of game performance to self-generation of game content, and anything in-between!As an AI Engineer at King, you will be developing, implementing and advancing our games and business applications to the next level by using the latest in the field of Machine Learning (ML) and AI. Including Deep Neural Networks for supervised, unsupervised and reinforcement learning as well as more traditional ML methods.With over 260+ million monthly active users and 47 billion events being uploaded daily, you´ll really have a lot of data to play with. Together with collaborative team members you´ll get to learn on the job every day!Skills to create thrillsSo what about you? You probably started off as engineer/developer and during your career have been working with analytical/data products. Or maybe you started off on the analytical side, digging into data, in a role within business intelligence or data science. Then your curiosity took over and you wanted to solve problems through automation and as a result, you started to get wildly interested in AI/ML solutions, experimenting with data and algorithms. More importantly, you´ve learned along the way that collaboration and experimenting is key to find new solutions.Degree in computer science, mathematics, machine learning or equivalentSolid working knowledge of PythonWorking experience of Tensorflow or similar frameworksExperience with or genuine interest in AI/ML applicationsTasty bonus skillsHave any sweet experience with one or some of the following areas? Then we sure like to hear about them!Development in or exposure to environments/sw products in C++ and/or JavaGame development and/or game enginesMobile products (iOS/Android development)Contributions to open source projectsWe know that you are in to games on some level (casual, console, board-games, Uno etc.) and if you also have experience working in the online gaming industry, we´d sure like to hear your story!A great saga needs all sorts of heroesMaking games is fun. Especially when you do it with people who share the same idea of what makes a good workplace, great. We craft games for everyone, no matter where they are or who they are, and we employ all kinds of people from all types of backgrounds to bring them to life. We believe we simply can’t expect diversity in our players and new ideas in our games without first nurturing it in our people. A great saga needs all sort of heroes. That’s why we provide equal opportunities and hire all sorts of talent.We’re Seriously PlayfulOfficially, we are a leading interactive entertainment company for the mobile world. Unofficially, we’re a serious business that takes pride in having fun. Every single day at King, we mix intuition with logic, art with science and magic with mathematics to craft the games the world loves to play. Together with our parent company, Activision Blizzard, our mission is to bring moments of magic to everyday life. If you think this is something you can help us achieve, we’d love to talk with you.Ready to level up? Join our Kingdom!You can find more information on our culture, values and benefits, including relocation packages at jobs.king.com. And we will be happy to tell you more about the role and about us.You should submit your application in English.Buzz: Data Scientist, Software Engineer, SW Developer, Principal, Programmer, BI, Data Science, Analyst, Gaming, Payments, Fin-tech, Platforms, Devices, Mobile, Android, iOS, Agile, AI/ML, A/B Testing, Personalisation, TDD, Test Driven Development, Utvecklare, Artificial Intelligence |
| Data Scientist – Strategic PartnershipsKing | King | San Francisco | https://ai-jobs.net/job/data-scientist-strategic-partnerships/ | King Strategic Partnerships supports key company priorities by driving partner collaboration that fuels organic growth across our leading portfolio of games. We are looking for someone who is interested in making data-based recommendations that identify “win-win” value propositions leveraging our partner ecosystem. You’ll have a proven ability to apply your skills, be it technical, behavioural or economic, in order to generate value for Candy Crush, one of the leading casual games franchises as well as our studio’s next generation of awesome mobile games.We are looking for a talented and creative Data Scientist interested to work with King’s Strategic Partnerships organization.Your role within our KingdomYou will be working with a diverse group of stakeholders at one of the global leaders in casual mobile games. As part of King Strategic Partnerships, you will support account managers who own business and strategic initiatives across multiple platforms – Apple, Google, Facebook, Microsoft, Amazon, and NetEase (China).Working collaboratively with Data Scientists you will provide input to boost installs, engagement and monetization across platforms. You will build relationships with key stakeholders including Game Teams, Brand Marketing, Performance Marketing and Advertising, providing tailored recommendations and business insights. Last but not least you will champion the partnership team’s work to promote and raise its profile across the business which includes occasional domestic and international travel.You will help us to further understand, model and predict how partnerships and co-marketing campaigns bring and engage players to our games and be part of a community of 100+ business intelligence & analytics experts.Specifically, you will:Understand the business context behind our strategic partnerships and establish the right metrics to answer our most critical business questionsProactively develop new analyses and data-driven tools to better understand our collaboration and initiatives with platformsProvide insights and estimations to support business cases and an analytic perspective to help drive priorities within your teamTranslate business needs to technical requirements and A/B tests, and work with development teams to ensure correct implementation, taking care to correctly track the right information to allow easy, precise analysis of the impactWork closely with Business Manager and Partnerships Account Managers to leverage insights from platform across multiple platformsCollaborate with other disciplines to find hidden insights about our businessShare your insights in a manner that compels leadership to take actionSkills to create thrillsYou have a passion for quantitative analysis, and have the ability to draw business insights which will add real value to King. You will need to demonstrate the ability to learn quickly and will have worked in a fast paced and collaborative environment. This role will involve working with teams and individuals across King – such as Game Developers, Business Performance Managers and Marketeers, so excellent communication skills are essential.While we certainly don’t expect you to have all of these skills from day one, we do expect you to learn and develop in each of the following five areas:Business Insight: The ability to understand the problems and issues our games and business wants to solve, and then defining the right data, analysis or interpretation to lead to the right recommendations and decisionsCommunication: Designing good ways of communicating, visualizing or reporting your analyses and their results so they are clear and unambiguousSQL: The ability to write SQL queries to analyze our data with 300+ million players and work with relational database systems.Coding: Proficiency in R and/or Python for analysis and visualizations, automating manual tasks, and building toolsStatistics: Understanding of appropriate statistical techniquesBonus pointsOther experience that might be helpful, but is not required, includes:Previous experience in the games industry or similarly customer-facing mobile app businessFamiliarity with massive data sets and tools to deal with them (BigQuery, GCP, Hadoop/Hive, Spark etc.)Experience in descriptive analytics, segmentation, and related areasSkills with standard reporting tools such as Looker, QlikView, Tableau etc.A great saga needs all sorts of heroesMaking games is fun. Especially when you do it with people who share the same idea of what makes a good workplace, great. We design games for everyone, no matter where they are or who they are, and we employ all sorts of people from all kinds of backgrounds to bring them to life. Truth is, we simply can’t expect diversity in our players and originality in our games without first nurturing it in our people. A great saga needs all sorts of heroes. And that’s it.We’re Seriously PlayfulOfficially, we’re a leading interactive entertainment company for the mobile world. Unofficially, we’re a serious business that’s not afraid to have fun. Every day at King, we mix intuition with logic, art with science and magic with mathematics to create the games the world loves to play. Together with our parent company Activision Blizzard, our mission is to bring moments of magic to everyday life. If you think this is something you can help us achieve, let’s talk.Apply now!Want to join our Kingdom? You’ll find all you need to apply, plus more information on our culture, values and benefits, including relocation packages at jobs.king.com. All applications should be made in English. |
| Senior Audio Machine Learning EngineerLogitech | Logitech | Windsor, United Kingdom | https://ai-jobs.net/job/senior-audio-machine-learning-engineer-2/ | Position at Logitech The Role:Our Video Collaboration products help companies stay connected and can be found in the conference rooms of some of the biggest businesses in the world. We are a small nimble group and we are growing our team. We create amazing experiences in the conference room using creative design, surprising science, and innovation. We love what we do because we are passionate about connecting people and we use the products we create every day to stay connected to our team. Want to be part of this team of collaboration innovators? We are looking for a talented Senior Audio Machine Learning Engineer. You will be part of a small team of developers focused on making video collaboration an amazing experience and the software you create will be used by thousands of people every day. Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. These are the behaviors you’ll need for success at Logitech. In this role you will:You have a practical knowledge of audio streaming processing techniques and machine learning in audio systems. The goal is for you to combine your knowledge of deep learning approaches and audio signal processing techniques to achieve an optimal combination of noise identification and reduction for our customers.You have a passion for working on new and disruptive AI/deep learning/machine learning solutions in the field of improving audio processing.You design and implement machine learning approaches that will run in real-time embedded hardware.You stay up to date on latest developments in the field of AI/Machine Learning/Deep learning by reading relevant papers/journals and applying new technologies to create high quality meeting room experiences.You are comfortable with evaluating, analyzing and optimizing system resources related to audio processing and machine learning.Key Qualifications:For consideration, you must bring the following minimum skills and behaviors to our team:7+ years in coding with C/C++, Python, Lua, R, Matlab or any AI language.3+ years experience in Machine Learning technologies and tools such as TensorFlow, Caffe, Python, PyTorch.At least one finished complex audio project in the role of ML developer with algorithm development and implementation.Understanding of open source audio data repositories, such as TIMIT and MUSAN.3+ years of deep experience with ARM/Cortex cores as a software engineer.Knowledge of basic real-time digital audio communication algorithms and approaches.Expert level experience in ML learning software: Python, Scala, or Tensor flow.Experience in implementing real world applications in AI.Proficient in performance analysis and optimization techniques.Experience in using Source Control / Project Tracking systems (Github, Jira).Attention to details and ability to work independently .Programming experience on Android platforms is a plus.Porting of algorithms into FPGA accelerated implementations is a plus .Education:M.S. (or equivalent) in Mathematics, Computer Science, Electrical Engineering or related field.Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it. As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way. “All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.” |
| Data Science Intern (Summer 2020)Mozilla A non-profit with one mission: defend the free and open web | Mozilla A non-profit with one mission: defend the free and open web | San Francisco | https://ai-jobs.net/job/data-science-intern-summer-2020/ | Team:Data AnalyticsLocations:San FranciscoMozilla is hiring Data Science Interns onto our technical teams based in our San Francisco office!We are engineers, designers, makers, and problem solvers. We work in the fishbowl known as the open source community, with a clear focus on making the Web better. Working with us, you’ll help build interesting new features, improve Mozilla products, and explore new product directions. To be part of the team, we ask that you be user centered, technically-curious, and excited to be moving the Mozilla mission forward. As a part of our Mozilla Internship Program, you will:Impact challenging projects influenced by our family of Mozilla products in and outside of the Firefox web browser (accessibility, voice design, developer tools, mobile, and mixed reality), Rust, Pocket, and moreBe mentored by a fellow teammate and someone who shares the same valuesDo real work on real projects and make contributions that will impact hundreds of millions of usersParticipate in social events with your fellow interns (amusement parks, ice cream and boba socials, board game nights, escape rooms, and painting parties)Meet with Mozilla leaders including our CEO, Executive Chairwoman, CPO, Chief R&D Officer, CMO, and Executive Foundation DirectorPresent your work to Mozilla leaders and fellow team membersPerks include:Market competitive payCatered lunches, snacks, and drinksHousing service or housing stipend Airfare and ground transportation to and from internshipWork visa sponsorshipAttendance at our bi-annual All Hands MeetingApplication and Interview ProcessRecruiting begins in September, and we hire on a rolling basis through March. While there is no set application deadline, we do have a limited number of positions open each year, so please apply early!Locations include Mountain View, San Francisco, Toronto, Berlin, and Paris. Please refer to our internship listings for specific locations offered by position.Process starts with a resume review followed by a HackerRank challenge (technical) or document submission (non-technical).Upon passing, you will partake in two technical and behavioral interviews with team members (coding and situational questions are fair game) followed by a hiring manager interview and ultimately, an offer decision. We have 2 positions open on the following teams:Data Analytics / Governance Intern (San Francisco, CA)At Mozilla, data is the primary mechanism for making decisions. Analytics and experimentation are the core of our business. We collect and process terabytes of data a day from hundreds of millions of users to help us figure out how to build and maintain the internet as a public resource. We are looking for an inquisitive thinker who is keen on data management and governance, with experience ranging from investigative journalism to database development. Your strong interest in honing your technical skills further on a wide variety of real-world data and your belief that data governance can lead to insight will guide the future of Mozilla’s businesses. Data Science Intern (San Francisco, CA)The Data Science team supports Firefox with deep product analytics, experimentation support and an understanding of our users at scale. The intern will be responsible for producing insights through exploratory data analysis in support of Firefox product development and reaching top line business goals.Basic Qualifications: Must be currently enrolled in a Bachelor’s or Master’s degree program in Statistics, Data Science, Computer Science, or a related technical disciplineMust be graduating in December 2020 and onward Or a recent graduate from a Coding Academy (within the last year) Preferred Qualifications:Python RSQLReasonable fluency in and passion for technologyAbility to interpret large amounts of data, multi-task, and produce results independently and collaboratively in a teamExcellent research and writing skillsStrong communication and social skillsExcellent organization, time management, and interpersonal skillsFamiliarity with how to access and employ a variety of resourcesEmpathy for users, passion for using data to make product decisions, experience with user research techniquesAbout Mozilla Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. Join us and become part of our mission to promote openness, innovation and opportunity online. Mozilla is committed to Equal Employment Opportunity throughout our recruiting and hiring process and is dedicated to increasing diversity in our workplace. |
| Senior Data ScientistXPO Logistics, Inc. | XPO Logistics, Inc. | High Point, NC, US, 27265 | https://ai-jobs.net/job/senior-data-scientist-27/ | Logistics done differently.Innovation is in our DNA. At XPO Logistics, we’re out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As the Senior Data Scientist, you will manage and lead the Data Science, Engineering and Analytics teams in their daily operations. You’ll find yourself immersed in a forward-thinking environment fueled by achievement and a tenacious team spirit. We’ll give you the support you need to excel at work, and the resources to build a career that will exceed your expectations. Pay, benefits and more.We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan. What you’ll do on a typical day:Collaborate with leadership to understand needs and align those with potential data and analytics projectsGather and integrate data from various sources for use in advanced analytics effortsIdentify, analyze and interpret trends, patterns and relationships in complex data sets using advanced analytics tools and modelsPrepare findings in a professional manner, presenting insightful results and providing actionable recommendations to leadershipPromote a data-driven culture through ongoing partnership and dialog with the business stakeholdersWhat you need to succeed at XPO:At a minimum, you’ll need:Bachelor’s degree in Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field3 years of experience in quantitative analyticsProficiency with Microsoft OfficeProficiency with Power BI, Tableau and Oracle BI, as well as Python, R, CPLEX, SQL and VBADemonstrated experience with database design, data models and integration/extraction technologiesStrong knowledge of statistics; experience using statistical modeling (logistic regression, SVMs, etc.) to solve business problemsKnowledge of statistical modeling techniques, including linear/logistic regression (advanced predictor selection techniques), classification (decision trees, random forests), Support Vector Machines (SVMs), neural networks, etc.It’d be great if you also have:Master’s degree in Data Science or a related field5 years of experience in quantitative analyticsExperience with text analytics (semantic analysis)Excellent analytical skills with the ability to collect, organize, analyze and disseminate information with attention to detail and accuracyBe part of something big. XPO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make XPO a great place to work. We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Nearest Major Market: Greensboro |
| Machine Learning Engineering ManagerDuolingo | Duolingo | Pittsburgh, PA, USA | https://ai-jobs.net/job/machine-learning-engineering-manager-2/ | Lead a team and help develop next-generation AI technologies used by millions. Duolingo AI Research is a nimble and rapidly-growing team that has already revolutionized language learning for more than 300 million people around the world. We are looking for a talented, forward-thinking manager to lead a team of engineers and researchers, and help us deliver high-quality education tools to anyone, anywhere, through AI. As an ML Engineering Manager at Duolingo, you have the technical chops to provide pragmatic leadership, as well as the people skills to manage a diverse team of skilled developers. You help manage your team’s goals, identify opportunities to improve products through classification, regression, and reinforcement learning techniques, contribute to overall product strategy, and help build our research organization. RESPONSIBILITIES:Manage ML Engineers and Research Scientists embedded in product teams, including task planning and code reviewsProvide technical leadership in an innovative and fast-paced environmentWork closely with other engineering, product, and design leaders to ensure we are building the best productsContribute to the planning, execution, and success of data-driven projects, through both research and production phasesContribute technically to AI projectsREQUIREMENTS:Graduate-level expertise (or equivalent industry experience) in machine learning, natural language processing, or related fieldIndustry experience managing technical teams of five or morePeople management skills, proven track record of mentoring and coachingDemonstrated expertise in problem-solving and technical innovationGood presentation and communication skillsAbility to relocate to Pittsburgh, PAEXCEPTIONAL CANDIDATES WILL HAVE:MS or PhD in machine learning, natural language processing, or related fieldA strong mathematical background in statistics or machine learningExtensive engineering experience in fast-growing, consumer-facing, data-driven startupsA desire to keep up with the field by attending or publishing at relevant conferences (ICML, NeurIPS, ACL, EMNLP, ICLR, CVPR, etc.) |
| Internship (including Master thesis) in Improved Automated Analysis and Display of Flow Imaging data (from October/November, 6 months)Roche | Roche | Switzerland, Basel-City, Basel | https://ai-jobs.net/job/internship-including-master-thesis-in-improved-automated-analysis-and-display-of-flow-imaging-data-from-october-november-6-months/ | At Roche, we believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are brave in both decision and action, we believe that good business means a better world.That is why we come to work each day. We commit ourselves to scientific rigour, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow.We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world.During your internship you will be part of the Joint Particle Lab team, part of Pharma Technical Development Europe, located in Basel. Our team specializes on particle related analytics including characterization, identification and development of strategies for its control along all phases of pharmaceutical development. We aim at understanding different particle phenomena including nano-, submicron- and visible-particles.Your main tasks will include: Manual classification of different types of particles commonly present in biopharmaceutical formulations based on morphologyGeneration of artificial particle models via stress conditions to enrich the different classesSupport the development of a data analysis tool (i.e. machine learning process, artificial intelligence algorithm) that automatically recognizes morphological parametersBuild a computational-based data display and reporting solution for a quick data interpretation processBenefits for youDepending on your motivation and engagement we will provide you with an excellent learning experience in a dynamic global organization.You will gain significant professional experience for your professional career.You will develop considerably on a personal level, to start building your network and to leave a mark for potential future ventures.Your ProfileWe are keen to discover talents who are passionate about learning and show great curiosity in discovering new things. We contribute our share towards achieving our mission and to make our vision of personalized healthcare happen. We offer you a multicultural workplace in a modern environment, which at the same time requires you to be open-minded and adaptable. This also means that you continuously contrast your results with others and acknowledge the benefit of collaboration and communications. You will be a member of our Interns Network that offers you chances to connect.You are an enrolled Master student in (Bio)mathematics, Bioinformatics, Computational Biology, Data Science, (Bio)statistics, (Bio-)Physics; Chemistry, Pharmaceutical sciences, or a related field looking for a temporary or part-time position during your studies.Moreover you are/have:Highly self-motivated and science drivenExcellent organization skills and ability to handle large data setsKnowledge of IT solutions and programming (e.g. Python and Tensorflow and basic data engineering skills) will be an assetGood English skillsPlease note that you have to be enrolled in university during the half of internship period.The Internship can start from July for a period of 6 months – please clearly indicate your preferred starting date in your cover letter. Applications need to include a CV and a motivation letter.Roche embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a range of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.Due to regulations non-EU/EFTA citizens have to provide a certificate from the university stating that an internship is mandatory as part of the application documents.Roche strives to be an equal opportunity employer.If you still have questions then please check our FAQs and videos on careers.roche.ch/faq.Who we areAt Roche, 94,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.Roche is an equal opportunity employer. |
| Data Scientist – Inference, TrustAirbnb | Airbnb | Seattle, United States | https://ai-jobs.net/job/data-scientist-inference-trust/ | Airbnb has become a global platform that connects travelers and hosts from over 81,000 cities. As such, experimentation is core to our growing business. We want to take a scientific approach to decision-making through careful hypothesis generation and testing and drive actions/refine strategies through insights from experimental analysis.Our inference data scientists understand the complications of running experiments in a two-sided marketplace, power analysis and stopping criteria, and statistical models to improve power/significance. Another interesting problem space is understanding what to do when we are unable to conduct experiments. How do we understand the impact of something new?We have a strong team of Data Scientists, our work is highly sought-after, and our impact on the business is tremendous. If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you.About Trust: Profile Data ScienceWe work on data products to enhance trust and safety on Airbnb’s platform and also offline. How do we let anyone (whether an individual, team, or business) accurately represent themselves online and easily manage their account preferences? How can we bridge a person’s online reputation with their offline behavior in a way that both grows the business and builds a more inclusive community? Join us if you want to uplevel your skills while solving hard problems with a group of talented people in a highly collaborative environment! ResponsibilitiesDesign experiments to understand the impact of user profile changes in complex and interlocking parts of the Airbnb action flowsMaintain the right balance between speed to market and scientific rigor when designing solutionsDefine and evaluate key metrics and understand what moves them and whyInvestigate challenging questions around user experience to understand the voice of our users at scaleIdentify critical business problems and create analytical and modeling solutions to inform business decisions with compelling data storiesOwn conceptualizing, developing, and maintaining dashboards and visualizationsPartner with Engineering to improve data source qualityEmpower the team to answer data questions quickly and easily by building high-quality ground truth data setsPreferred Qualifications5+ years industry experience or 2+ years with a Ph.D. in a scientific or quantitative fieldAdvanced proficiency in SQL and extensive experience with Python or RAble to identify complex business problems and provide sound experimental approaches to testing hypothesesAble to communicate clearly and effectively to cross-functional partners of varying technical levelsAble to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insightsExperience with designing and evaluating experiments in two-sided marketplaces (a plus)Experience with large-scale data modeling and data set creation (a plus)Experience building (or willing to learn how to build) data pipelines using Airflow (a plus)BenefitsStock$2,000 yearly employee travel couponCompetitive salaryPaid time off Medical, dental, & vision insuranceLife & disability coverage401KFlexible Spending AccountsApple equipmentDaily breakfast, lunch, and dinner We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status |
| Data Science Manager, AlgorithmsAirbnb | Airbnb | Seattle, United States | https://ai-jobs.net/job/data-science-manager-algorithms/ | Airbnb has become a global platform that connects travelers and hosts from over 34,000 cities. At the backbone of this is a world class customer support team and the innovative technology that enables them. We believe that our service will be a major differentiator and drive Airbnb’s global success and growth. The Support Products team is building a technology platform that supports Airbnb as it scales, delivering an exceptional level of customer service while also improving efficiency and the customer service agent experience. Machine learning is key to this vision.We are seeking a Data Science Manager to work out of our growing Seattle office to lead a strong team of data scientists to drive strategy for using machine learning to transform Airbnb support. In addition to collaborating with engineers, designers and product managers, you will leverage Airbnb’s rich and unique data and state-of-art machine learning infrastructure. We have an incredible team of data scientists, our work is highly sought-after, and our impact on the business is tremendous. If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you.Some projects that you would lead:Predicting when a customer might have an issue and proactively providing self-solve options.Conversational assistant (Chatbot) to solve simple cases with minimal human intervention, gather relevant information, and escalate to human agents when necessary.Smart Customer Support Agent Tools or automated resolution tools to enable efficient and consistent resolution of users’ help requestsRoute customer issues to the right customer service agent, matching supply and demand to minimize customer wait times.Capacity planning models to staff agents with time varying demand and variable service time to achieve near zero wait timeSome examples of traits that we value: PhD or equivalent work experience in a quantitative field preferred5+ years in industry, customer service experience preferred3+ years of mentorship and management experienceAbility to write and mentor code development in SQL and PythonAbility to partner with a diverse set of stakeholders globallyStrong understanding of statistics and machine learning, natural language processing experience preferredIntuition for data science best practices, stemming from proven experienceSteadfast focus on creating impactful change BenefitsStock$2,000 yearly employee travel couponCompetitive salaryPaid time offMedical, dental, & vision insuranceLife & disability coverage401KFlexible Spending AccountsApple equipmentDaily breakfast, lunch, and dinnerWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status |
| 2020 Machine Learning Internship – Amazon SearchAmazon.com | Amazon.com | Berlin, Germany | https://ai-jobs.net/job/2020-machine-learning-internship-amazon-search/ | We are looking for PhD students to join Amazon Search in Berlin for a 3-6 month internship in 2020.Hundreds of millions of customers. Billions of queries per year and dollars in revenue. The scale and impact of Amazon search is huge and we need passionate, talented, and inventive scientists to realize the future of product search worldwide.The Search Customer Experience team is responsible for worldwide customer facing search features including everything from the moment a customer clicks into the search box to when they view search results. We develop and deploy machine learning methods to build smarter and more personalized experiences for our customers. Our work draws upon a wide range of disciplines including, but not limited to, information retrieval, natural language processing, reinforcement learning, deep learning, data management, and ML systems design.You will be a full member of the Amazon Search team working with other scientists and software development engineers on completing a self-contained internship project. Specific challenges will be dealing with very large heterogenous datasets, designing novel algorithms that are robust and reliable, and efficient implementations that can run in production. We encourage publication of your results at top-tier conferences and open-sourcing code developed during the internship.BASIC QUALIFICATIONS· On-track for PhD degree in Machine Learning, Data Science, Information Retrieval, or in a related field.· Hands-on experience in one or more of the following areas: information retrieval, natural language processing, reinforcement learning, deep learning, data management, and ML systems design.· Enthusiasm for applying machine learning to real-world problems.· Computer science grounding in a range of algorithms, data structures, and programming languages; experience in Python is a plus.· Ability to present your ideas clearly and compellingly in both verbal and written form.PREFERRED QUALIFICATIONS· Ability to convey rigorous mathematical concepts and considerations to non-experts.· Ability to distill problem definitions, models, and constraints from informal business requirements, and to deal with ambiguity and competing objectives.· Strong software development skills.· Publications in top-tier science conferences and journals.We offer flexible start dates throughout the whole year. Please note that we expect to experience a high volume of applications and we will fill positions as they become available, so we encourage you to apply early. Please include your academic transcript in your CV.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. |
| Data ScientistNIWA | NIWA | Wellington | https://ai-jobs.net/job/niwa-wellington-full-time-data-scientist/ | Based at NIWA in Wellington, New ZealandPermanent, full-time, working jointly for NIWA and NeSI, but hosted by NIWANIWA is a dynamic research organisation whose purpose is to enhance the economic value and sustainable management of New Zealand’s marine and freshwater resources, to provide understanding of climate and atmospheric state and processes, and increase resilience to weather and climate-related hazards to improve safety and wellbeing of New Zealanders.The New Zealand eScience Infrastructure (NeSI) facilitates access by public sector, academic and private industry researchers to NIWA and the University of Auckland’s High Performance Computing (HPC) facilities. NeSI helps researchers through providing advice for ‘on-boarding’ to these facilities, managing data transfer and storage, as well as resolving complex computational and modelling requirements.We are seeking a data scientist or data science engineer to work closely with researchers from a wide range of disciplines such as social, biological, environmental, biomedical and materials science and engineering. The position involves advising and assisting researchers with processing and analysing their datasets efficiently on the advanced HPC platforms and helping them build and optimise complex data pipelines, models, and workflows. You will represent NIWA and NeSI as data science authorities in national and international communities.You need a recognized tertiary qualification in statistics, mathematics, data science or other relevant disciplines and strong skills in machine learning/deep learningYou will need experience with developing data science applications, preferably in a research environmentYou will be an expert in a scripting language, such as Python or R, and interested in learning new skills, tools and methodsYou will need experience with Linux and working on HPC or data analytics platformsYou will need to be well organised and have good communication skills, and you should be comfortable operating in a team environment. You will also need tenacity to persevere with difficult tasks and remain results oriented, with good customer focus.NIWA offers competitive remuneration and benefits and an attractive waterfront location in Wellington. Are you passionate about supporting researchers to make world leading discoveries? Do you thrive on the challenge of working across different and complex disciplines? If so, then this is the position for you. |
| Data ScientistMedopad | Medopad | London, UK | https://ai-jobs.net/job/data-scientist-101/ | Team: ProductPosition: Data Scientist Role Mission: The core mission of the Data Scientist is to develop and implement analytical and visual tools to clean and visualise our data. This individual will facilitate Medopad to create visual and research-based deployments internally, aiming to discover patterns in our health data. Where appropriate these projects will result in the production of research papers, highlighting Medopad’s effectiveness. Additionally, the analytical tools created could be used externally by our clients as well. Accountability & First Year KPIs:AI-Infrastructure: Develop the generic data cleaning and data visualization for SVT and PH projects within 3 months. Research and Epidemiology: Design and create visualization tools that are interactive, modular, user friendly and re-usable within 3 months.Teamwork & Management: Design & implement training programme for other Medopad employees to use the solutions you have created within 9 months. Must have:A Masters or PhD degree in mathematics or computer scienceCreative and able to work between teams and collaboratively with colleaguesIn-depth knowledge of applied statisticsIndependent and goal driven individual with a passion for data visualizationExperience with JavaScript, d3, react, Node.js, R and PythonExcellent communication skills, including the ability to communicate deeply technical concepts to non-technical audiences, at all levels and in all mediums from email to written and oral presentations Nice to havePublication authorshipWe believe magic happens when you bring together diverse ideas, experiences, and styles. We want to create a world where people live longer, fuller lives, and to do that well we need a team that represents all of the people and communities who use our solutions. We are an environment where everyone has the opportunity to do their best work; come and join us. If there are any adjustments we can make for our process to be more inclusive, please get in touch. To all recruitment agencies: Medopad does not accept agency resumes. Please do not forward resumes to our jobs alias, Medopad employees or any other organization location. Medopad is not responsible for any fees related to unsolicited resumes. |
| Machine Learning EngineerThe Vanguard Group, Inc. | The Vanguard Group, Inc. | Malvern, PA, US | https://ai-jobs.net/job/machine-learning-engineer-63/ | Making data deliver for investorsFrom our rare ownership structure to our low-cost options, Vanguard is committed to the belief that nothing should stand in the way of investors meeting their goals. We’re making use of advanced data analytics to tackle our most hard problems, removing obstacles to investment and develop deeper market and business insights. As a Machine Learning Engineer at our Center for Analytics & Insights (CAI), you’ll build sophisticated solutions that support a wide range of advanced data driven capabilities. Make it count.In this role, you will:Apply your technological expertise to address the data challenges that our business and our clients face, using insights to turn challenges into opportunitiesTranslates business specifications into design specifications and codes accordingly, in a well-structured and modularized fashionKeen on learning about various tools and techniques for data wrangling and pipe-lining. Heavy focus on ML and AI aspects of data engineeringPrototype new approaches and production solutions at scaleCollaborate with our Advanced Analytics team to collect and manage large-scale data-sets that support better investment decisionsKeep up to speed with the latest industry and technology developments, and apply them to solve data and analytics challenges focused on business performanceLead activities such as quality assurance and data migration and integration to ensure clients and investors get the best business benefitBe the guide who makes the differenceYour skills are critical to looking after the best interests of our investors. That’s because solving our most complex business problems and strategic questions requires expert-level technical and data services. Not content with today’s data solutions, you’ll constantly be scanning the horizon for even better ways of doing things. Joining a team of highly hardworking, cross-disciplinary individuals in our CAI will broaden your point of view and enhance your impact.What it takesUndergraduate degree in a related field (or equivalent training and experience) and, ideally, a master’s degree in software engineering / computer scienceFamiliarity with Dockers, REST APIs, Web Scraping, AWS or similar cloud services is a requirementFamiliar with data frameworks like Hadoop, Spark in Java/Python/ScalaHands-on experience in deep learning frameworks such as TensorFlow and Keras is a plusExperienced knowledge in a range of technologies within your technical specialty-from state-of-the-art to legacy systemsAbout VanguardWe are Vanguard. Together, we’re changing the way the world invests.For us, investing doesn’t just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you can get so much more in return. We invest with purpose – and that’s how we’ve become a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you.We want to make success accessible to everyone. This is our opportunity. Let’s make it count.Inclusion StatementVanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: ‘Do the right thing.’We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard’s core purpose.Our core purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. |
| Lead Data ScientistCenturylink | Centurylink | Denver, CO | https://ai-jobs.net/job/centurylink-denver-co-full-time-lead-data-scientist-2/ | About CenturyLinkCenturyLink (NYSE: CTL) is the second largest U.S. communications provider to global enterprise customers. With customers in more than 60 countries and an intense focus on the customer experience, CenturyLink strives to be the world’s best networking company by solving customers’ increased demand for reliable and secure connections. The company also serves as its customers’ trusted partner, helping them manage increased network and IT complexity and providing managed network and cyber security solutions that help protect their business.Job SummaryKey member of the Ops Transformation team who will support our Field Operations and Service Assurance teams with insights gained from analyzing company data. The ideal candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and delivering solutions to drive KPI improvements.Job DescriptionMine and analyze data from company sources to drive optimization and improvement of product development, and business strategies. • Coordinate with various to teams to develop and automate purified data feeds to enable robust model-building practices • Analyze data discrepancies and, provide analytical insights of operational results • Develop new and creative ideas to drive cost savings and process improvement • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions • Develop custom data models and algorithms to apply to data sets to improve complex business processes • Develop company A/B testing framework and test model quality • Use models to test the effectiveness of different courses of action • Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations • Effectively communicate technical and business risks to stakeholders to ensure that the most informed decisions are being made • Utilize AI (Artificial Intelligence) and ML (Machine Learning) to implement predictive solutions • Must be self-directed and goal-oriented with solid work ethic and accountability • Transfer data mined analytics into executive level business case submissions including justification and expected KPI improvements • Work effectively within tight deadlines and firm schedules • Work effectively on a team as well as a self-driven individual to do research and develop cutting edge and effective solutions for the business • Utilize strong knowledge of Field Operations hardware and daily processes coupled with data mining to predict and implement automated solutionsRequired Qualifications: • SQL / MySQL / Oracle or general database querying • Experience using statistical computer languages (R, Python, Cypher, OBIEE, HIVE, etc.) to manipulate data and draw insights from large data sets • Familiarity with data visualization/presentation, and work flow automation techniques • Knowledge of a variety of machine learning techniques; clustering, decision tree learning, artificial neural networks • Familiar with a diverse set of tools and languages such as Spark, Splunk, Tableau, PowerBI, NiFi and Flink • Knowledge of Field Operations processes, procedures, systems and daily required functions • Proficient with Microsoft Office suite (PowerPoint, Excel, Word, Access) • Strong background in science or engineering including masters-level specialization in modeling or optimization or data science • Proven ability to solve complex technical and operational issues across multiple functional organizations • Experience with relational and non-relational databases • Strong experience with tools for managing, analyzing, visualizing large datasets, and implementation of predictive solutions • Clear communication methods; able to provide conclusions with simple language and innovative visualizations to management and executives • Experience working with and creating data architecture • High proficiency in classical statistical and mathematical modeling methods • Excellent written and verbal communication skills for coordinating across teams • 5+ years of experience as a data scientist, quantitative researcher or algorithmistAdditional Qualifications: • Transformational mindset • Programming experience (Ex. Java, Perl, C++,etc.) • Knowledge of TensorFlow, Keras, or Caffe • Strong background in telecommunications/broadband delivery (Ex. Copper infrastructure, GPON, HSI, etc.) • Experience working within an Agile environment • Knowledge of data networking principles (i.e. WAN, LAN, WIFI, Ethernet, etc..) |
| Sr Data ScientistCenturylink | Centurylink | Denver, CO | https://ai-jobs.net/job/centurylink-denver-co-full-time-sr-data-scientist/ | About CenturyLinkCenturyLink (NYSE: CTL) is the second largest U.S. communications provider to global enterprise customers. With customers in more than 60 countries and an intense focus on the customer experience, CenturyLink strives to be the world’s best networking company by solving customers’ increased demand for reliable and secure connections. The company also serves as its customers’ trusted partner, helping them manage increased network and IT complexity and providing managed network and cyber security solutions that help protect their business.Job SummaryThe Data Scientist is a highly skilled individual contributor, under minimal supervision, who designs and develops programs, methods, processes, and systems to consolidate and analyze diverse, structured and unstructured “big data” sources to generate actionable insights and solutions using machine learning and advanced analytics. Interprets and communicates insights and findings from analyses and experiments to other analysts, data scientists, and team members. Job DescriptionThe Data Scientist proactively identifies meaningful insights by executing data discovery, exploratory data analysis, and iteratively developing predictive and prescriptive models to identify optimal solutions.This position will also assist with operationalizing the insights and solutions and changing business processes to maximize the value of those solutions.Analyze data and build predictive and prescriptive models in the areas of capacity planning, anomaly detection, predictive asset failure/maintenance, workload optimization, customer segmentation and business performance.Mine information for previously unknown patterns and insights hidden in these assets and leverage them for competitive advantage.The problems this position will solve will be at the cutting edge of technology and will lie at the intersection of science, engineering and business acumen.QualificationsSpecific Skills Required (Must have Skills):• Bachelor’s Degree in Math, Computer Science, Data Mining, Machine Learning, Statistics or other quantitative discipline. Master’s Degree preferred. • Experienced in writing formulas, expressions and algorithms as needed to support analytical work. • Understands data automation and how to best construct backend database environments and front end visualization for efficiency and recurring use. • Strong communication skills and relationship skills. • Ability to perform ad-hoc statistical analysis including correlation analysis, frequency distribution analysis, probabilistic modeling, sophisticated forecasting, and academic based predictive and prescriptive methods. • Capable of modeling the relationships between many sources of operational data, develop models that can serve to provide insight to support operational management, system optimization, dispatch system configurations and executive support for decision making. • Ability to write customized algorithms to drive predictive and prescriptive analysis in business management, creating actionable recommendations to improve Field Operations. • Ability to logically construct back end data base architecture that can support a growing system of analytical visualization in a Qliksense BI, and analytical decision-making engines. • Can be flexible to work on various types of projects, often balancing multiple deliverables with a wide range of complexity requirements. • Is comfortable working with teams, sharing code among peers, and presenting to leadership. • Has a genuine drive to succeed and self-motivated to “take care of business”, while positively representing the team.• Experience with SQL, database navigation in an Oracle data environment and Data Lake unstructured environments. • Python and/or R data script writing. • 3 + years’ experience delivering Machine Learning and Advanced Analytics solutions. |
| Lead Data ScientistCenturylink | Centurylink | Denver, CO | https://ai-jobs.net/job/centurylink-denver-co-full-time-lead-data-scientist/ | About CenturyLinkCenturyLink (NYSE: CTL) is the second largest U.S. communications provider to global enterprise customers. With customers in more than 60 countries and an intense focus on the customer experience, CenturyLink strives to be the world’s best networking company by solving customers’ increased demand for reliable and secure connections. The company also serves as its customers’ trusted partner, helping them manage increased network and IT complexity and providing managed network and cyber security solutions that help protect their business.Job SummryThis Data Scientist role is within the Black Lotus Labs Threat Research Team. This security-focused advanced team utilizes a variety of methods to find malicious actors, botnets, and other risk types in the Internet. The team is expanding our capabilities to utilize large scale data sets in this analysis and are excited to bring new talented members on-board to join in this exciting work.The Data Scientist is responsible for developing tools to collect, clean, analyze and manage the data used by strategic areas of the business. Employ techniques and theories drawn from mathematics, statistics, from the subdomains of machine learning, classification, cluster analysis, and data mining.Job DescriptionClearly communicate methods and conclusions with simple language and innovative visualizations to management and executives.Work effectively on a team as well as a self-driven individual to do research and develop cutting edge and effective solutions for the business.Provide expertise in analyzing and visualizing large, complex, and unique data sets.Create new insights that will drive business growth and profitability in the short and long term.Deploy analytics code with a continuous integration environment incorporating version control, build servers, and test servers.Design and implement programs and automation to collect, mash up, process and analyze distributed real-world data.Collaborate with cross-functional teams to understand complex business problems, build statistical models, and create predictive tools. QualificationsA strong applied mathematics and statistics knowledgeExperience making actionable decisions out of seemingly inconclusive data setsStrong knowledge of supervised and unsupervised machine learning techniques and methodologiesExperience with relational and non-relational databasesStrong experience with tools for managing, analyzing, and visualizing large datasetsProgramming experience with two or more of Python, Lisp, Java, Scala, R, Matlab, Golang, or C++Creativity and persistence in locating, extracting and analyzing any and all relevant dataProblem solving versatility: making the best decisions possible given the data quality and time availableStrong analytical thinking and ability to quickly pick up new methods, tools and programming languagesHighly qualified candidates may have:Past success in extracurricular math/science activities or competitionsInvolvement through participation with community events such as meetups or security conferences related to data scienceExperience with Spark and JupyterKnowledge of networking and telecommunicationsExperience with sklearn, pandas and numpyKnowledge of malware and network traffic analysis techniquesUser level experience in a Unix-based environment |
| Sr Lead Data ScientistCenturylink | Centurylink | Broomfield, CO (or Remote) | https://ai-jobs.net/job/centurylink-broomfield-co-or-remote-full-time-sr-lead-data-scientist/ | About CenturyLinkCenturyLink (NYSE: CTL) is the second largest U.S. communications provider to global enterprise customers. With customers in more than 60 countries and an intense focus on the customer experience, CenturyLink strives to be the world’s best networking company by solving customers’ increased demand for reliable and secure connections. The company also serves as its customers’ trusted partner, helping them manage increased network and IT complexity and providing managed network and cyber security solutions that help protect their business.Job Summary Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.Job Description Analyze data and build descriptive and predictive models in the areas of capacity planning, anomaly detection, workload optimization, customer segmentation and business performance. Mine information for previously unknown patterns and insights hidden in these assets and leverage them for competitive advantage. The problems solved will be at the cutting edge of technology and will lie at the intersection of science, engineering and business acumen. Be part of a highly skilled agile team and within a strongly focused DevOps culture.Job Requirements Able to apply techniques such as classification, clustering, regression, association, anomaly detection, time series forecasting, Hidden Markov models and Bayesian inference to solve pragmatic business problems Able to design working models and implement them on Big Data systems using Map Reduce or Spark frameworks. Familiar with Hadoop, Pig, Hive, Scope, Cosmos, or similar technologies. Able to work within an agile, iterative DevOps development process12 + year; 8 + year with a Masters Experience with statistical programming environments like R, Matlab or Octave Fluent in one or more object oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby Experience with statistical programming environments like R, Matlab or Octave Degree in Math, Computer Science, Data Mining, Machine Learning, Statistics or other quantitative discipline Plus: Experience with Cloudera or Pivotal Hadoop distributions, Experience with Pivotal HD, GemFireXD, HAWQ |
| Senior Manager – Machine Learning AnalyticsVodafone | Vodafone | London, UK | https://ai-jobs.net/job/senior-manager-machine-learning-analytics/ | Role Title: Senior Manager – Machine Learning AnalyticsLocation: London, Paddington At Vodafone Group we build connections to all our Global operations, acting as an advisory board to drive consistency and customer excellence across 30 countries and for over 420 million customers. We are constantly uncovering tactics to innovate the way we operate, set our global standards or lead our strategic performance. By joining Vodafone Group, you will be part of evolving our digital world of total communications. Now is the time to get on board.We reach over 420 million customers, all with unique behaviours and experiences and have a tremendous amount of data that is generated every single second in our network. This means that we have a vast body of rich information, which if unlocked, can lead to something very special. This is a strategic and technical role responsible for innovative machine learning analytical solutions that create commercial value. The solutions will be developed as part of the global BI & Analytics transformation programme working with Google and our offshore teams in Vodafone Shared Services. With us you will:Design and oversee the development of impactful business solutions, focusing on revenue, profitability resource allocation and optimisationInnovate with data science methods and techniques e.g. machine learning algorithms that support predictive analyticsEstablish predicative modelling such as regression, decision trees (incl. random forest), neural networks, time series etc.Partner with senior stakeholders in local markets to develop business solutions Apply if you have:Science related degree/mastersCommercial acumen and ability to use data to solve business problems with a proactive innovation mindsetExperience in developing Machine Learning algorithms for business use i.e. customer analysis, performance mgmtStatistician with knowledge of distributed processesing, cloud computing (ideally GCP) and strong programming skills i.e. Python, C++, R Commitment from Vodafone Vodafone is committed to attracting, developing and retaining the best people by offering a motivating and inclusive workplace in which talent is truly recognised, developed and rewarded. We believe that diversity plays an important role in the success of our business and we are committed to creating an inclusive work environment which respects, values, celebrates and makes the most of people’s individual differences – we are not only multinational but multicultural too. At Vodafone you will have access to our excellent benefits programme that you would expect from any global company. For any technical difficulties with submitting your application, please contact group.resourcing@vodafone.com If you have any questions left Check out the application process and get to know us better here:https://careers.vodafone.co.uk/corporatehttps://careers.vodafone.co.uk/working-at-vodafoneRead more stories here: https://careers.vodafone.co.uk/posts The future is exciting. Ready? |
| Machine Learning ExpertTaboola | Taboola | Tel Aviv, Israel | https://ai-jobs.net/job/machine-learning-expert-2/ | Taboola, the world’s largest content recommendation platform, is hiring a Machine Learning Expert.In this job you will:Be responsible for the entire algorithmic life-cycle in the company: data analytics, prototyping of new ideas, implementing algorithms in a production environment and then monitoring and maintaining themTurn algorithm prototypes into shippable products that will have a significant and immediate impact on the company’s revenueWork on a daily basis with some of the hottest trends in today’s job market: machine/deep learning, big data analytics and cloud computingApply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithms to solve complex problemsInfluence directly on the way billions of people discover the internetWork on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much moreOur tech Stack:Python, Java, TensorFlow, Spark, Kafka, Cassandra, ElasticSearch, BigQuery, Google Cloud Platform, and DockerAbout you:M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related fieldStrong knowledge in PythonGood knowledge in Java, Scala or C++Familiarity with statistical modeling techniques3+ years of hands on experience with coding machine learning/statistical modeling based solutionsExperience in data analysis and visualization and strong knowledge in SQLPossess strong problem solving and critical thinking skillsNice to have:Experience in developing models using deep learning techniques and toolsExperience in developing software within a distributed computation framework |
| Research Scientist (m/f/d) – Applied Data Analytics & Machine LearningABB | ABB | Ladenburg, Germany | https://ai-jobs.net/job/research-scientist-m-f-d-applied-data-analytics-machine-learning/ | Join ABB and work in a team that is dedicated to creating a future where innovative digital technologies allow greater access to cleaner energy. We are looking to appoint a high-caliber Research Scientist for Applied Data Analytics & Machine Learning. This is an outstanding opportunity for a talented individual to help propel our business forward in a fast-paced market. Are you an expert in data analytics, machine learning, and statistics? Do your credentials include experience in handling industrial data and the desire to apply your knowledge in a challenging environment? This is your chance to join our team of highly motivated researchers with the aim of developing the foundations for the next generation of ABB automation and electrification systems.Your responsibilities• Join international team of scientists responsible for conducting wide-ranging research in the field of applied data analytics and machine learning, the focus being on unlocking potential when it comes to operating, maintaining, and optimizing industrial assets• Perform wide range of tasks from problem definition and data exploration, via technology, model and software development to project management • Generate new ideas and develop use cases for international, multidisciplinary research projects that unlock value for ABB’s business units and end customers• Develop applied data analytics, machine learning, and statistical methods to process complex industrial data sets using engineering domain expertise, e.g., diagnosis, monitoring, prediction, prescription, and increased autonomous operation of automation and electrification systems• Validate concepts on the basis of high-quality software prototypes, showcase them in demonstrators, present results to relevant senior stakeholders inside and outside of ABB, and support product development• Publish results at acknowledged scientific conferences, create intellectual property, and contribute to committees and standardization bodies• Establish strategic partnerships with international academia and provide professional input with regard to publicly funded projectsYour background• Above-average university degree (preferably a PhD or similar) in Physics, Mathematics, Engineering, or Computer Science• Experience in one of the following fields: data analytics, applied statistics, signal processing, scientific computing, algorithmics, or machine learning• Excellent programming skills (e.g., C#, C++, Java, Python, R, etc.) and a strong grasp of object-oriented programming• Hands-on experience in developing efficient and reliable industrial software, preferably underpinned by expertise relating to signal processing or analysis of time series• Domain knowledge in process automation, electrification devices, robotics, or another area of ABB’s business, ideally complemented by engineering domain expertise• Well-developed communication skills, cultural awareness, and excellent networking abilities• Proficiency in English, both written and spoken, for the purpose of maintaining a close dialogue with internal/external partners and wider academic communityMore about usBring your very own sense of pride and purpose as you help us drive forward the Fourth Industrial Revolution – creating a sustainable future for our planet, and your career. Join ABB and harness the power of our diverse global network, as you collaborate with and learn from our world-class teams. Above all, challenge yourself every day. Let’s write the future, together. |
| Machine Learning Engineering InternButterfly Network | Butterfly Network | New York, NY, USA | https://ai-jobs.net/job/4catalyzer-machine-learning-engineering-intern/ | Company DescriptionButterfly Network is reinventing medical imaging and championing a new era of healthcare by creating the first ever pocket-sized, whole-body ultrasound device – the Butterfly iQ. This breakthrough technology has reduced the cost of the traditional ultrasound system by miniaturizing it onto a single semiconductor silicon chip. Our mission is to democratize healthcare by making medical imaging accessible to everyone around the world.Since inception, Butterfly has raised over $375 million. The iQ is FDA-cleared and is being sold in hospitals and clinics around the globe.Joining Butterfly Network is the opportunity to redesign the future of healthcare through the power of technology. Embark on a journey with us to maximize global impact, motivated by the idea that our products will change the lives of millions along with the people you love. Job DescriptionBuilding “intelligence” into our software is the responsibility of the Deep Learning Team.We’ve built a strong research team and are looking for talented Software Engineers, Data Scientists and Research Scientist interns. This role is best suited for engineers interested in learning about machine learning and building components of high-impact, life-saving systems.Each internship will involve working alongside other research scientists, software engineers and a world-class clinical team to help develop a new suite of “intelligent” medical products.As part of our team, some example core responsibilities will be: Designing Algorithms for interpretation of machine learning models.Real-time analytics systems that monitor the performance of models and annotations.Optimizing speed and size of neural networks on mobile devicesNext generation distributed infrastructure for training machine learning models.QualificationsBaseline skills/experiences/attributes:Working on CS undergraduate or graduate degree.Familiarity with engineering best practices and design patterns.Ideally, you also have these skills/experiences/attributes (but it’s ok if you don’t!):Working on MS or Phd in computer vision, data science or machine learning.Experience with machine learning infrastructure or models.Additional InformationWe offer great perks: Fully covered medical insurance plan, and dental & vision coverage – as a health-tech company, we place great worth on our teams’ well-beingCompetitive salaried compensation – we value our employees and show it Equity – we want every employee to be a stakeholderPre-tax commuter benefits – we make your commute more reasonable Free onsite meals + kitchen stocked with snacks.401k plan – we facilitate your retirement goalsBeautiful office overlooking the Flatiron building in NYC The opportunity to build a revolutionary healthcare product and save millions of lives! For this role, we provide visa assistance for qualified candidates. Butterfly network does not accept agency resumes.Butterfly Network Inc. is an E-Verify Company and is an equal opportunity employer regardless of race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines. |
| Senior Software Engineer / Machine LearningAtomwise | Atomwise | San Francisco | https://ai-jobs.net/job/senior-software-engineer-machine-learning-4/ | At Atomwise, we invented the first deep learning neural networks for structure-based small molecule drug discovery, and we’re currently deploying it in one of the largest applications of machine learning for life sciences. We work on Alzheimer’s, cancer, diabetes, drug-resistant antibiotics, safe pesticides, among treatments for other diseases. We’ve partnered with 4 of the top-10 US pharma companies, raised over $50M from top VCs, and have 100+ diverse projects currently running.You should think about joining us if you care about enabling the application of machine learning to essential problems. For example, we are not constrained by latency or uptime but by scaling and parallelization. Today we can analyze more than 100 million molecules per day, but there are about 10^24 synthetically-accessible molecules. Come help us pick up a couple of orders-of-magnitude.Our team has over 20 Ph.D. scientists who contribute to a high-performance academic-like culture that fosters robust scientific and technical excellence. We strongly believe that data wins over opinions, and aim for as little dogma as possible in our decision making.Our Engineering team is small and growing quickly. As a result, there’s plenty of opportunities for career growth and to have a significant impact on our success. You willHave the opportunity to learn and improve how we run machine learning at scale to deliver new drugsTake a lead role in designing and implementing the software that runs our convolutional neural networkFoster high-quality and adaptable software and systems using code reviews, scrum, and testsInteract closely with scientists at the company (your users) to iteratively determine goals for your projects and evaluate progressRequired QualificationsBachelor’s degree in Computer Science with 5+ years of software engineering experienceHigh proficiency in Python and a compiled language (e.g., C++, golang, Java, etc)Experience implementing deep learning architectures with PyTorch or TensorFlowFamiliarity with the Linux command-line environmentPreferred QualificationsBackground working with GPU architecture and CUDA programming conceptsCompensation & benefitsCompetitive salary, commensurate with experienceStock compensation plan – you’ll be an Atomwise co-ownerPlatinum health, dental, and vision benefits401k with 4% matchFlexible work scheduleGenerous parental leaveStrong emphasis on collaborative learning and career developmentAtomwise is not currently offering visa sponsorships for any position. Please only apply if eligible to work in the U.S. |
| Principal Developer – Machine LearningBooking.com | Booking.com | Amsterdam, Noord-Holland, Netherlands | https://ai-jobs.net/job/principal-developer-machine-learning/ | At Booking.com we combine the best traits of a start-up with the resources of planet Earth’s #1 accommodation website. We are working towards creating the ultimate travel experience, building and improving great products for both travellers and the accommodation partners.We are not afraid to experiment, think big or aim high!Based in the beautiful city of Amsterdam, our technology department is over 1500 strong.We believe that diversity makes us stronger – with over 60 different nationalities in the technology department alone, you will be able to absorb new skills and develop your career in a multicultural environment.As well as working independently, you will also be responsible for making technical decisions within a team and across teams/sub departments. Our development strategy is agile and we work in small Scrum teams of 5-7. We do several code rollouts every day, are data-driven and do extensive A/B testing on both user and partner facing platforms. B.responsibleLeads design of a successful highly distributed, large scale machine learning platform that has a major impact on the internal and external usersServes as a back-end tech lead on large scale projectsHands-on development of proof of concepts and evaluation of new technologiesImplement technical strategic decisions in cross functional teamsWorks closely with product owners and engineers to design, implement, continually improve highly scalable applications and servicesProvides technical guidance to other team membersMaintains a current understanding of industry and technology trends in a fast moving field, and provides a clear and actionable strategy regarding what we should buy and what we should buildAdvises on and drives the integration between central machine learning tooling and parallel one-off initiativesCommunicates and enforces coding standardsB.skilled12+ years of software development experience, minimum 3 years in lead/architect roleExperience and understanding about how to develop and operate strategic systemsProven hands-on experience in designing, building, improving and operating high-performance, highly-available and scalable distributed systems for machine learning applicationsExperience with service oriented architecture (SOA) is preferredExtensive experience with software development processesExpert knowledge of computer science, with strong competencies in data storage and processing, feature engineering and productionising machine learning models Ability to design and solve complex business problems by writing simple, effective codeEager to work in multiple programming languages and frameworks and constantly striving to raise technical excellenceAbility to convince, provide work direction and leadership to colleagues who do not directly report to this roleExperience mentoring and growing (senior) developers, not through reporting lines, but through thorough and convincing communication is preferredExcellent communication skills. Demonstrated ability to use data to influence and drive decisionsStrong customer focus and passion for doing the right thing for the customerB.offeredLiving and working in Amsterdam, one of the most cosmopolitan cities in EuropeContributing to a high scale, complex, world renowned product and seeing real time impact of your work on millions of travelers worldwideWorking in a fast paced and performance driven cultureOpportunity to utilize technical expertise, leadership capabilities and entrepreneurial spiritPromote and drive impactful and innovative engineering solutionsTechnical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participationCompetitive compensation and benefits package and some great added perks of working in the home city of Booking.com This position is open to worldwide candidates and, in the case of relocation, we will assist you with a generous relocation package, ensuring a smooth transition to working and living in Amsterdam. We have successfully relocated 300+ Technology professionals to Amsterdam in the last year! |
| Senior Data Scientist – Analytics ProductsKing | King | Stockholm | https://ai-jobs.net/job/senior-data-scientist-analytics-products/ | We are looking for an experienced and creative Senior Data Scientist for our analytics products, where you’ll be working on our in-house A/B-Test Analysis Tool, real-time alert systems and Machine Learning Platform… just to name a few. You will be part of the Central AI team, consisting of 13 Kingsters – AI Engineers, Data Scientists and Developers. Our mission? Creating products of advanced analytics for game performance, to self-generate game content, and anything in-between!Your role within our KingdomWork together with cross-functional teams on solving and automating data-driven decision-making and reporting. With the goal set towards automated A/B-Testing insights.Help the team to architect the design of new data/analytics products, making use of King’s internal ecosystem.Technologies we like at King: Kafka, Flink, Hadoop and the full suite of Google Cloud Platform.Take ownership and responsibility for the analytics tools built in the team.Drive projects from a data and analysis driven prototype to a production-ready system.Skills to create thrillsIn-depth experience working with databases and ability to write complex SQL queriesStrong programming experience, manipulating and analyzing data (Java and Python)Good knowledge of data mining and machine learningComfortable in a Linux environment and experienced working with CI/CD systemsPassionate, self-motivated and capable of self-directionBonus pointsGood understanding of A/B-Test analysis and statisticsExperience working with cloud-based software developmentExperience working with Google Cloud Platform productsAbility to identify appropriate statistical or machine learning technique to use in difference circumstances.Comfortable in exploring new technologies, and building your own toolsAbility to learn quickly and apply newly acquired knowledge to improve existing solutionsA great saga needs all sorts of heroesMaking games is fun. Especially when you do it with people who share the same idea of what makes a good workplace, great. We design games for everyone, no matter where they are or who they are, and we employ all sorts of people from all kinds of backgrounds to bring them to life. Truth is, we simply can’t expect diversity in our players and originality in our games without first nurturing it in our people. A great saga needs diverse heroes.We’re Seriously PlayfulOfficially, we’re a leading interactive entertainment company for the mobile world. Unofficially, we’re a serious business that’s not afraid to have fun. Every day at King, we mix intuition with logic, art with science and magic with mathematics to create the games the world loves to play. Together with our parent company Activision Blizzard, our mission is to bring moments of magic to everyday life. If you think this is something you can help us achieve, let’s talk.Buzz: Artificial IntelligenceApply now!Want to join our Kingdom and the Central AI team? All applications should be made in English. |
## [1] 60 5Please be sure that you set working directory in Rstudio to the current working directory.
## [1] TRUEjob_details_df <- read.csv(file = "jobs_detailsInfo.csv", header = TRUE, sep = ",")
head(job_details_df, 2) %>% kable() %>% kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>% scroll_box(width="100%",height="300px")| get_position | get_company | get_location | job_details | get_description |
|---|---|---|---|---|
| Data EngineerMongoDB | MongoDB | New York City | https://ai-jobs.net/job/data-engineer-40/ | MongoDB is growing rapidly and seeking a Data Engineer to be a key contributor to the overall internal data platform at MongoDB. You will build data driven solutions to help drive MongoDBs growth as a product and as a company. You will take on complex data-related problems using very diverse data sets.Who?You have experience with:several programming languages (Python, Scala, Java, etc..)data processing frameworks like Sparkstreaming data processing frameworks like Kafka, KSQ, and Spark Streaminga diverse set of databases like MongoDB, Cassandra, Redshift, Postgres, etc.different storage format like Parquet, Avro, Arrow, and JSONAWS services such as EMR, Lambda, S3, Athena, Glue, IAM, RDS, etc.orchestration tools such as Airflow, Luiji, Azkaban, Cask, etc.Git and GithubCI/CD PipelinesAlsoEnjoy wrangling huge amounts of data and exploring new data setsValue code simplicity and performanceObsess over data: everything needs to be accounted for and be thoroughly testedPlan effective data storage, security, sharing and publishing within the organizationAre constantly thinking of ways to squeeze better performance out of the pipelinesBonus PointsYou are deeply familiar with Spark and/or HiveYou have expert experience with AirflowUnderstand the differences between different storage format like Parquet, Avro, Arrow, and JSONUnderstand the tradeoffs between different schema designs like normalization vs denormalizationIn addition to data pipelines, you’re also quite good with Kubernetes, Drone, and TerraformYou’ve built end to end production grade data solutions that run on AWSHave experience building ML pipelines using tools likeSparkML, Tensorflow, Scikit-Learn, etc.What?As a Data Engineer, you will:Build large-scale batch and real-time data pipelines with data processing frameworks like Spark on AWSHelp drive best practices in continuous integration and deliveryHelp drive optimization, testing and tooling to improve data qualityCollaborate with other software engineers, ML experts and stakeholders, taking learning and leadership opportunities that will arise every single day |
| Machine Learning EngineerMedium | Medium | San Francisco | https://ai-jobs.net/job/machine-learning-engineer-64/ | At Medium, words matter. We are building the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas; a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. We are looking for a Machine Learning Engineer that will work with a talented multi-functional team and focus on building an advanced recommendations engine that matches Medium’s users with the content they enjoy. We are looking for experienced engineers that will help design, prototype and implement systems which enable users to discover personalized content. At Medium, we are proud of our product, our team, and our culture. Medium’s website and mobile apps are accessed by millions of users each day. Our mission is to move thinking forward by providing a place where individuals, along with publishers, can share stories and their perspectives. Behind this beautifully-crafted platform is our engineering team who works seamlessly together. From frontend to API, from data collection to product science, Medium engineers work multi-functionally with open communication and feedback.What will you doWork on a large-scale recommendation system, consisting of feature engineering / storage, deep learning training pipelines, offline evaluation systems, and online serving infrastructure.Work on a team to understand Medium’s user’s interests and build the systems and machine learning models that deliver recommendations to users.Push the boundary of natural language processing (NLP) technologies and combine artificial and human intelligence to understand content on Medium.Apply state-of-the-art machine learning technologies to find the most interesting and relevant for readers on Medium and help them get value from Medium.Collaborate with product scientists, product managers, and other engineers across the company.Who are youYou have experience working on production machine learning systems at scale, data mining, search, ranking, recommendations, and/or natural language processing.4+ years of software engineering experienceYou have deep understanding of machine learning models, feature engineering, and how to evaluate performances of machine learning systems.You are passionate about using technology to help Medium readers discover the most interesting and relevant stories.Nice to HaveSpark data pipeline and/or streaming experienceAt Medium, we foster an inclusive, supportive, fun yet challenging team environment. We value having a team that is made up of a diverse set of backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer Interested? We’d love to hear from you. |
url <- "https://raw.githubusercontent.com/salma71/MSDS_2019/master/Fall2019/aquisition_management_607/project_3/jobs_detailsInfo.csv"
jobs_df <- read.csv(url, header = TRUE, sep = ",", stringsAsFactors = FALSE)
jobs_dfwe need to change the get_details column into a corpus for analysis
also used regex to remove ASCII characters
for (j in seq(job_desc_corpus)) {
job_desc_corpus[[j]] <- gsub("/", " ", job_desc_corpus[[j]])
job_desc_corpus[[j]] <- gsub("@", " ", job_desc_corpus[[j]])
job_desc_corpus[[j]] <- gsub("\\|", " ", job_desc_corpus[[j]])
job_desc_corpus[[j]] <- gsub("\u2028", " ", job_desc_corpus[[j]]) # This is an ascii character that did not translate, so it had to be removed.
}
writeLines(as.character(job_desc_corpus[[1]]))## MongoDB is growing rapidly and seeking a Data Engineer to be a key contributor to the overall internal data platform at MongoDB. You will build data driven solutions to help drive MongoDBs growth as a product and as a company. You will take on complex data-related problems using very diverse data sets.Who?You have experience with:several programming languages (Python, Scala, Java, etc..)data processing frameworks like Sparkstreaming data processing frameworks like Kafka, KSQ, and Spark Streaminga diverse set of databases like MongoDB, Cassandra, Redshift, Postgres, etc.different storage format like Parquet, Avro, Arrow, and JSONAWS services such as EMR, Lambda, S3, Athena, Glue, IAM, RDS, etc.orchestration tools such as Airflow, Luiji, Azkaban, Cask, etc.Git and GithubCI CD PipelinesAlsoEnjoy wrangling huge amounts of data and exploring new data setsValue code simplicity and performanceObsess over data: everything needs to be accounted for and be thoroughly testedPlan effective data storage, security, sharing and publishing within the organizationAre constantly thinking of ways to squeeze better performance out of the pipelinesBonus PointsYou are deeply familiar with Spark and or HiveYou have expert experience with AirflowUnderstand the differences between different storage format like Parquet, Avro, Arrow, and JSONUnderstand the tradeoffs between different schema designs like normalization vs denormalizationIn addition to data pipelines, you’re also quite good with Kubernetes, Drone, and TerraformYou’ve built end to end production grade data solutions that run on AWSHave experience building ML pipelines using tools likeSparkML, Tensorflow, Scikit-Learn, etc.What?As a Data Engineer, you will:Build large-scale batch and real-time data pipelines with data processing frameworks like Spark on AWSHelp drive best practices in continuous integration and deliveryHelp drive optimization, testing and tooling to improve data qualityCollaborate with other software engineers, ML experts and stakeholders, taking learning and leadership opportunities that will arise every single day# remove puncituation
job_desc <- tm_map(job_desc_corpus,removePunctuation)
writeLines(as.character(job_desc[[1]]))## MongoDB is growing rapidly and seeking a Data Engineer to be a key contributor to the overall internal data platform at MongoDB You will build data driven solutions to help drive MongoDBs growth as a product and as a company You will take on complex datarelated problems using very diverse data setsWhoYou have experience withseveral programming languages Python Scala Java etcdata processing frameworks like Sparkstreaming data processing frameworks like Kafka KSQ and Spark Streaminga diverse set of databases like MongoDB Cassandra Redshift Postgres etcdifferent storage format like Parquet Avro Arrow and JSONAWS services such as EMR Lambda S3 Athena Glue IAM RDS etcorchestration tools such as Airflow Luiji Azkaban Cask etcGit and GithubCI CD PipelinesAlsoEnjoy wrangling huge amounts of data and exploring new data setsValue code simplicity and performanceObsess over data everything needs to be accounted for and be thoroughly testedPlan effective data storage security sharing and publishing within the organizationAre constantly thinking of ways to squeeze better performance out of the pipelinesBonus PointsYou are deeply familiar with Spark and or HiveYou have expert experience with AirflowUnderstand the differences between different storage format like Parquet Avro Arrow and JSONUnderstand the tradeoffs between different schema designs like normalization vs denormalizationIn addition to data pipelines you’re also quite good with Kubernetes Drone and TerraformYou’ve built end to end production grade data solutions that run on AWSHave experience building ML pipelines using tools likeSparkML Tensorflow ScikitLearn etcWhatAs a Data Engineer you willBuild largescale batch and realtime data pipelines with data processing frameworks like Spark on AWSHelp drive best practices in continuous integration and deliveryHelp drive optimization testing and tooling to improve data qualityCollaborate with other software engineers ML experts and stakeholders taking learning and leadership opportunities that will arise every single day# remove numbers
job_desc <- tm_map(job_desc,removeNumbers)
# remove ascii characters
writeLines(as.character(job_desc[[1]]))## MongoDB is growing rapidly and seeking a Data Engineer to be a key contributor to the overall internal data platform at MongoDB You will build data driven solutions to help drive MongoDBs growth as a product and as a company You will take on complex datarelated problems using very diverse data setsWhoYou have experience withseveral programming languages Python Scala Java etcdata processing frameworks like Sparkstreaming data processing frameworks like Kafka KSQ and Spark Streaminga diverse set of databases like MongoDB Cassandra Redshift Postgres etcdifferent storage format like Parquet Avro Arrow and JSONAWS services such as EMR Lambda S Athena Glue IAM RDS etcorchestration tools such as Airflow Luiji Azkaban Cask etcGit and GithubCI CD PipelinesAlsoEnjoy wrangling huge amounts of data and exploring new data setsValue code simplicity and performanceObsess over data everything needs to be accounted for and be thoroughly testedPlan effective data storage security sharing and publishing within the organizationAre constantly thinking of ways to squeeze better performance out of the pipelinesBonus PointsYou are deeply familiar with Spark and or HiveYou have expert experience with AirflowUnderstand the differences between different storage format like Parquet Avro Arrow and JSONUnderstand the tradeoffs between different schema designs like normalization vs denormalizationIn addition to data pipelines you’re also quite good with Kubernetes Drone and TerraformYou’ve built end to end production grade data solutions that run on AWSHave experience building ML pipelines using tools likeSparkML Tensorflow ScikitLearn etcWhatAs a Data Engineer you willBuild largescale batch and realtime data pipelines with data processing frameworks like Spark on AWSHelp drive best practices in continuous integration and deliveryHelp drive optimization testing and tooling to improve data qualityCollaborate with other software engineers ML experts and stakeholders taking learning and leadership opportunities that will arise every single day# For a list of the stopwords, see:
# length(stopwords("english"))
# stopwords("english")
job_desc <- tm_map(job_desc, removeWords, stopwords("english"))
job_desc <- tm_map(job_desc, PlainTextDocument)
#writeLines(as.character(job_desc[[1]]))job_desc <- tm_map(job_desc, removeWords, c("syllogism", "tautology"))
# Just remove the words "syllogism" and "tautology".
# These words don't actually exist in these texts. But this is how you would remove them if they had.Removing common word endings (e.g., “ing”, “es”, “s”) This is referred to as “stemming” documents. We stem the documents so that a word will be recognizable to the computer, despite whether or not it may have a variety of possible endings in the original text.
Note: The “stem completion” function is currently problemmatic, and stemmed words are often annoying to read. For now, I have this section commented out. But you are welcome to try these functions (by removing the hashmark from the beginning of the line) if they interest you. Just don’t expect them to operate smoothly.
This procedure has been a little hanky in the recent past, so I change the name of the data object when I do this to keep from overwriting what I have done to this point.
jobs_st <- tm_map(job_desc, stemDocument)
jobs_st <- tm_map(job_desc, PlainTextDocument)
writeLines(as.character(jobs_st[1])) # Check to see if it worked.## list(list(content = "MongoDB growing rapidly seeking Data Engineer key contributor overall internal data platform MongoDB You will build data driven solutions help drive MongoDBs growth product company You will take complex datarelated problems using diverse data setsWhoYou experience withseveral programming languages Python Scala Java etcdata processing frameworks like Sparkstreaming data processing frameworks like Kafka KSQ Spark Streaminga diverse set databases like MongoDB Cassandra Redshift Postgres etcdifferent storage format like Parquet Avro Arrow JSONAWS services EMR Lambda S Athena Glue IAM RDS etcorchestration tools Airflow Luiji Azkaban Cask etcGit GithubCI CD PipelinesAlsoEnjoy wrangling huge amounts data exploring new data setsValue code simplicity performanceObsess data everything needs accounted thoroughly testedPlan effective data storage security sharing publishing within organizationAre constantly thinking ways squeeze better performance pipelinesBonus PointsYou deeply familiar Spark HiveYou expert experience AirflowUnderstand differences different storage format like Parquet Avro Arrow JSONUnderstand tradeoffs different schema designs like normalization vs denormalizationIn addition data pipelines ’re also quite good Kubernetes Drone TerraformYou’ve built end end production grade data solutions run AWSHave experience building ML pipelines using tools likeSparkML Tensorflow ScikitLearn etcWhatAs Data Engineer willBuild largescale batch realtime data pipelines data processing frameworks like Spark AWSHelp drive best practices continuous integration deliveryHelp drive optimization testing tooling improve data qualityCollaborate software engineers ML experts stakeholders taking learning leadership opportunities will arise every single day",
## meta = list(author = character(0), datetimestamp = list(sec = 41.1613759994507, min = 23, hour = 18, mday = 14, mon = 9, year = 119, wday = 1, yday = 286, isdst = 0), description = character(0), heading = character(0), id = character(0), language = character(0), origin = character(0))))
## list()
## list()