Data Scientist or Data Engineer Consultant
Amazon Web Services
Helping new AWS clients transform into a cloud-based model.
Hands on consulting role. Full-time permanent position. Fully remote + ~50% travel
Applied Scientist -Redmond, WA
Microsoft
Work on NLP/ML and reinforcement learning. Positions available in several groups in Sunnyvale, CA and Redmond, WA.
Applied Scientist- Sunnyvale, CA
Microsoft
Work on NLP/ML and reinforcement learning. Positions available in several groups in Sunnyvale, CA and Redmond, WA.
Link:
None
Data Scientist- Redmond, WA
Microsoft
Knowledge in Information extraction, Semantic Web, Machine Learning and deep learning
Link:
None
Postdoc and Ph.D. Student Positions @ SFU
School of Computing Science, Simon Fraser University
We are looking for ambitious, dedicated, diligent and creative students to fill several postdoc and Ph.D. student positions at the Intelligent Data Engineering and Analytics Lab (IDEAL), on the general direction of intelligent data science with applications in business, healthcare, and finance. The research will be directed by Dr. Jian Pei and sponsored by a series of government funding agencies and industry partners.
Applied Deep learning scientist
Microsoft, Data and AI / cloud and AI
Job involves using existing and inventing new AI methods to improve software productivity on the cloud. This includes auto generation and completion of code, automatic code refactoring, AI driven PR reviews and many more...
Data scientist (all levels)
State Farm
You will employ sophisticated, statistical approaches and state of the art technology. You will build and refine our tools/techniques and engage with internal stakeholders across the organization to improve our products & services. Implementing solutions is critical for success. You will do problem identification, solution proposal & presentation to a wide variety of management & technical audiences. This challenging career requires you to work on multiple concurrent projects in a community setting, developing yourself and others, and advancing data science both at State Farm and externally. Data Scientist Skills & Professional Experience Required • Develop hypotheses, design experiments, and test feasibility of proposed actions to determine probable outcomes using a variety of tools & technologies • Completed Masters, other advanced degrees, and five (5) years' experience in an analytical field such as data science quantitative marketing, statistics, operations research, management science, industrial engineering, economics, etc. or equivalent practical experience in a business environment. • Experience with SQL, Python, R, Java, SAS or MapReduce, SPARK • Experience with unstructured data sets: text analytics, image recognition etc. • Experience working with numerous large data sets/data warehouses and ability to pull from such data sets using relevant programs & coding including files, RDBMS & Hadoop based storage systems • Knowledge in machine learning methods including at least one of the following: Time series analysis, Hierarchical Bayes; or learning techniques such as Decision Trees, Boosting, Random Forests. • Excellent communication skills and the ability to manage multiple diverse stakeholders across businesses and leadership levels. • Exercise sound judgment to diagnose and resolve problems within area of expertise • Familiarity with CI/CD development methods, Git and Docker a plus
Link:
None
Machine Learning Scientist / Engineer
Apple
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning techniques with next-generation hardware, our teams take user experiences to the next level.
You will design, develop, and deploy large scale services and platforms. You will also collaborate with teams across Apple, who are building the newest, most compelling intelligent applications in the world. You will have strong engineering and communication skills, as well as a belief that data driven processes lead to great products.
Link:
bit.ly/apple-kdd2019
Senior Data Scientist
Badoo
https://badoo.com/en/team/jobs/senior-data-scientist-441
Feel free to contact me via email if interested.
Machine Learning Scientist / Engineer (all levels)
WeWork
Enable member experiences by contributing to recommendation systems, search, knowledge graphs, experimentation platform, NLP, NLU, anomaly detection, computer vision, speech recognition.
Pinterest Labs Applied Scientist
Pinterest
As an Applied Scientist at Pinterest Labs, you'll work on tackling new challenges in machine learning and deep learning applied to a unique Pinterest dataset of 250 billion pins. You'll work on hard machine learning problems, push the state of the art, and conduct research that can be applied across Pinterest engineering teams and engage in collaborations and mentoring. You'll have the opportunity to perform research in the following areas: representation learning, graph embeddings, image recognition, user modeling, recommender systems, natural language processing, and big data analytics.
What you’ll do:
- Push the state of the art and apply the latest advances in deep learning and machine learning to improve Pinterest
- Impact hundreds of millions of users by developing the next generation of visual discovery technology
- Develop machine learning solutions for real world, large-scale problems on the largest visually curated dataset on the planet
- Work in a fast-paced environment with a quick cadence of research, experimentation, and product launches
What we’re looking for:
- Passionate about applied machine learning and deep learning
- 5+ years experience applying deep learning methods in settings like recommender systems, time-series, user modeling, image recognition, graph representation learning, natural language processing.
- Strong passion for research and extensive experience in solving hard analytical problems
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fieldsIndustry experience in deploying ML/DL models into production (familiarity with scalability/latency/portability concerns, experience with experimentation and hyperparameter tuning)
- Experience with learning from ranking labels (i.e. triplet learning, metric learning, etc.) and deploying ranking models (i.e. learning-to-rank)
Link:
https://careers.pinterest.com/careers/details/614888?gh_jid=614888
Data Scientist
Outreach
Outreach is transforming the way sales people work by automating manual activities and recommending next best action to take. We are a recent unicorn and one of the fastest growing startups worldwide. We are looking for exceptional candidates with expertise in NLP, experimentation and recommendation to join our small elite team of data scientists.
Message me if you'd like to meet and chat while at KDD.
Link:
https://www.linkedin.com/in/paveldmitriev/
Machine Learning Engineer
Pinterest
As a Machine Learning Engineer at Pinterest, you’ll work on tackling new challenges in machine learning and artificial intelligence. We are building the world’s first discovery engine, serving up millions of recommendations to an incredibly loyal user base that spans beyond 300 million monthly active users. We’re applying state-of-the-art data mining and machine learning techniques to significantly increase our product search and recommendation relevance. At the same time, the team is building one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers.
As an ML Engineer, you can join a small team in any of the following areas: image recognition, user modeling, recommender systems, natural language processing, and big data analytics. You’ll have access to a large and robust data set that uniquely combines graph structure over image and text that powers our understanding of user’s data.
Teams that are currently hiring:
- Ads
- Shopping
- Content
- Discovery
What you’ll do:
- Build models or develop ranking features for 300 million monthly users
- Own developing a model from end to end, from theory to deployment
- Solve ML problems at scale (large training data sets, low latency for predictions)
- Work with a group of friendly and experienced ML engineers to build the next generation ML signal pipeline widely used at Pinterest, including candidate generation, featurization and ranking model improvement.
- Design and build systems that combine machine learning and product design to continuously improve over time.
- Partner closely with other product teams across the organization to experiment with different algorithms and validate their effectiveness, while gaining knowledge of how ML works in all these products
Data Scientist
WeWork
Reach out directly if this sounds exciting to you and you’d like to meet up!
As a Data Scientist in the Member Experience mission, you will help our team to understand the needs of our members, analyze how our users engage with our products, and design and evaluate experiments to test new product experiences. Through insights, you will craft narratives that influence the strategy of our mission and inform our product roadmaps.
At WeWork, Data Scientists are exceptional at identifying problems and coming up with effective data-informed solutions. We are not dogmatic about specific methodologies - for any given problem, a Data Scientist may borrow tools from any variety of quantitative disciplines to drive the greatest impact.
Link:
https://careers.wework.com/job/WEWOUS4312564002/Data-Scientist-Member-Experience
Machine Learning Engineer
Deepair Solutions
Help us bring AI to travel industry that will change the way people travel. Looking for an entrepreneurial ML engineer who can join our startup and will scale our machine learning pipeline.
Link:
www.deepair.io
Data Scientist (all levels)
Nike
Drop me an email with your resume, and let`s meet and chat.
The Personalization team in Nike’s Global Consumer Knowledge Center of Excellence is a fast growing team responsible for building and deepening a holistic view of Nike’s consumers through data and analytics, and applying those insights to personalize and optimize incredible digital services and experiences for our consumers. We are looking for scientists with tech industry experience to help build our core data products and machine learning and statistical modeling processes. We want someone who loves modeling and writing code, someone who likes to dive in, solve problems, and create world class experiences for Nike consumers. This is a young and growing team, so the ideal candidate is ready for a leadership role in a collaborative environment, helping to drive team excellence and defining and socializing best practices for the team. We are deeply integrated with our partner data and services engineering teams, and collaborate extensively with all of Nike’s digital product teams to help drive design and then deliver personalized experiences. You should be ready for partnership with teams across the company and excited about green spaces in which to make your mark. A candidate should be experienced in state of the art statistical modeling or machine learning algorithms, but also be able to think in terms of the compute processes, distributed data, and coupling between systems.
We’re looking for scientists who thrive in a dynamic setting. Communication and leadership skills are key. You’ll get to work with scientists with a breadth of experiences across industry and academia, including in machine learning, statistics, neuroscience, and physics. You’ll be expected to go deep and learn with them, as a peer and as a team.
Link:
https://jobs.nike.com/job/portland/sr-data-scientist-personalization-src0326srds/824/11346788
NLP/KG Researcher
Tencent
Tencent Medical AI Lab (Palo Alto, CA) has opening positions for NLP/KG researchers.
If interested, please send me a message so that we can schedule a time and chat during the conference.
If you have a WeChat, you can add me via id: taoyang1989
Sr. Machine Learning Engineer
Sony PlayStation
PlayStation isn't just the Best Place to Play —it's also the Best Place to Work. You will be responsible for deliver A/B tested low-latency real-time personalization models to enhance many of the experiences for our 100+ million active players.
Data Scientist (many levels, IoT)
FogHorn Systems
FH is an Industrial Internet of Things software startup with seies B funding. I am growing my DS team to 14, between 2 locations. I am looking for people who have deployed 3+ data mining projects.
Link:
www.foghorn.io/careers/data-scientist
Staff Engineer/Data Scientist—Recommendation Algorithm
Alibaba Group
The recommendation Algorithm Team is the core business & algorithm team in Alibaba Group: A team with rich experience in developing large-scale distributed recommendation algorithms for the challenging Alibaba e-commence ecosystem, a team targeting at continuous technology breakthroughs and business innovations, a team with world-class algorithm engineers & researchers from global sites such as Hangzhou, Beijing, Seattle, and Singapore. In the past, the team has won several star technology & business awards in Alibaba Group, and also published influential papers in top-ranked computer science conferences such as WWW，KDD，CIKM.
What you’ll do:
1. Responsible for developing new techniques and products for better understanding the user intention and improving commodity/content/video search/recommendation revenue and user experience ;
2.Responsible for developing new techniques for content/video/commodity classification, tagging and understanding for better search/recommendation user experience;
3.Responsible for the application of ultra-large-scale deep learning in user behavior modeling, semantic matching, CTR prediction and ranking;
4.Responsible for the application of graph embedding learning in query, commodity and user representation learning；
5. Responsible for optimizing recommendation/search strategies and ranking models through reinforcement learning, autoML, etc.
What we’re looking for:
-Master or PhD degree in computer science, electrical engineering, or equivalent field;
-Passionate about technology, demonstrated ability to generate new ideas and innovations;
-Solid theoretical foundations and industry experiences in machine learning, information retrieval, natural language processing, recommendation system, computer vision or related areas；
-Excellent in self-learning, problem analyzing and solving;
-Proactive, strong teamwork spirit and communication skills.
Link:
None
Senior Machine Learning Engineer II - Uber Eats Search & Recommendations
Uber
About the Role
The Senior II Engineer will be expected to be involved in Core AND either Feed OR Search all aspects of the team.
As of today, the team has 3 sub-tracks:
Core: Backend scalability, Data reliability, Product features
Feed/Recommendations: Multi-objective optimization, Core Ranking Improvements, Ranking Platform
Search: Search Retrieval & First Pass Ranking, Assisted Search, Search Relevance with Food Graph
What You'll Do
Depending upon their previous expertise and interest, they will be expected to be heavily involved in
Building scalable retrieval and ranking systems
Helping setup the right tech / tools / processes to speed up experimentation velocity
Working closely with ML-Infra teams (like Search and Michelangelo) to guide the building of next gen Infra
Building state-of-the art relevance for UberEats Feed OR Search systems
What You'll Need
Previous domain expertise in some high-scale Applied ML field (Recommendations, Search, Ads, Content relevance etc)
Bonus Points If
Previous expertise on distributed systems and/or ML Infra
Excited about scalability and reliability of systems
About the Team
Uber Eats is our food delivery platform that makes getting great food from your favorite local restaurants as easy as requesting a ride.
The Eater Discovery team is responsible for serving and personalization of Feed, Search and Menu flows in the Eats app. The team's mission is to build a reliable, personalized and leverageable platform to enable effortless food discovery for consumers everywhere. As the world moves towards high adoption of delivery services, we believe that effortless discovery will be one of the biggest product differentiators in the years to come.
The team owns 3 tier-1 (business critical) services, 30 machine learning models in production and over 300 data pipelines which ETL and monitor the data used for these models. The team vision can be found here - http://t.uber.com/discovery-vision-19
Link:
https://www.uber.com/global/en/careers/list/52787/
Staff Machine Learning Engineer - Uber Eats Search & Recommendations
Uber
About the Role
The Staff Machine Learning Engineer on the Uber Eats Discovery team (aka Search &Recommendations/Personalization) will be expected to be involved in all aspects of the team.
As of today, the team has 3 sub-tracks:
Core: Backend scalability, Data reliability, Product features
Feed/Recommendations: Multi-objective optimization, Core Ranking Improvements, Ranking Platform
Search: Search Retrieval & First Pass Ranking, Assisted Search, Search Relevance with Food Graph
What You'll Do
Depending upon your expertise and interest, you will be expected to be heavily involved in ONE or MORE of the following:
Building state-of-the art relevance for UberEats feed and search results
Building out a food-graph (or knowledge platform) that is highly leveraged across all the teams' surfaces
Working closely with ML-Infra teams (like Search and Michelangelo) to guide the building of next gen Infra
What You'll Need
Previous domain expertise in some Applied ML field, Recommendations, Search, Ads, Content relevance etc.
Proven track record in leading, roadmapping, help collaborate across teams and functions.
Bonus Points If
Previous expertise on distributed systems and/or ML Infra
Excited about scalability and reliability of systems
About the Team
The Uber Eats Discovery team is responsible for serving and personalization of Feed, Search and Menu flows in the Eats app. The team's mission is to build a reliable, personalized and leverageable platform to enable effortless food discovery for consumers everywhere. As the world moves towards high adoption of delivery services, we believe that effortless discovery will be one of the biggest product differentiators in the years to come.
The team owns 3 tier-1 (business critical) services, 30 machine learning models in production and over 300 data pipelines which ETL and monitor the data used for these models.
Link:
https://www.uber.com/global/en/careers/list/52167/
Machine Learning Engineer - Uber Eats
Uber
About the Role
Uber Eats is our food delivery platform that makes getting great food from your favorite local restaurants as easy as requesting a ride. As a machine learning oriented software engineer on Eats you will be applying ML techniques to a variety of real world problems to improve Uber Eats' user experience and marketplace efficiency. Our problem space includes but not limited to:
- Demand intelligence - conversion prediction, price elasticity modeling.
- Pricing, incentives and promotional spend optimization.
- Time modeling - Meal preparation time and delivery time prediction.
- Vehicle - routing, and general network optimization.
- Ranking/Recommendation - personalized restaurant/dish ranking and recommendation
- Customization - menu conversion optimization and customization
- Search - result ranking, efficacy and knowledge graph
- Restaurants - recommend ad spend, food prep optimizations, combinations
If you are experienced or interested in building distributed systems at scale, running online machine learning and optimization algorithms at the core of production systems, this is the right job for you!
What You'll Do
Translate real world problems into standard machine learning models.
Develop high quality and scalable classification, regression or deep learning models.
Develop scalable, reliable distributed systems.
What You'll Need
2 years of work or educational experience in Machine Learning, Artificial Intelligence or Data Mining.
2 years of relevant work or educational experience in software development, server architecture and distributed systems.
Experience or educational background in any of the following is a plus: Deep Learning, Data Mining, Statistics, Mathematical optimizations, Micro economics.
About the Team
Uber Eats is our food delivery platform that makes getting great food from your favorite local restaurants as easy as requesting a ride.
data engineer or data scientist
ehealth
https://jobs.jobvite.com/careers/ehealth/jobs?error=404&nl=1
under engineer
check out our stock price
Senior Data Scientist/Machine Learning Engineer
TripAdvisor
TripAdvisor’s Machine Learning group works on machine learning and statistical analysis problems across several areas of the company. We take an entrepreneurial approach to our projects, identifying high value opportunities and building solutions in a collaborative team environment.
These include a diverse set of problems such as: personalization, review fraud detection, search / navigation, machine vision, TV analytics, automated content curation, and CRM. We use advanced techniques in natural language understanding / NLP, recommender systems, learn-to-rank models, statistical inference, social network analysis, and deep learning.
We are looking for experienced machine learning engineers and data scientists with broad knowledge of machine learning techniques to design and implement machine learning solutions throughout the company.
You’ll be working with a multidisciplinary team of smart people including data scientists, developers, and product managers. You’ll have an amazing amount of data as raw material for your projects, including over 780 million collected reviews and opinions, 5 terabytes of log data per day, and 300,000 photos and videos per day. You will be testing your hypotheses and product online on our 455M monthly unique visitors. You must be comfortable communicating your approaches to project managers across the company.
Research intern for spring and summer 2020
Baidu Research, USA
Highly motivated PhD students are welcomed to submit applications for Research Intern positions in the Cognitive Computing Lab (CCL-US) at Baidu Research. We have offices in both Sunnyvale, CA and Bellevue, WA. Openings are available for both spring and summer of 2020.
Applicants should be pursuing doctoral degrees in Computer Science, Statistics, Electrical Engineering, or related fields. Research interns will be conducting original basic research which ideally will lead to publications in premier venues. Areas of research include statistical learning, deep learning, natural language processing/understanding, etc. Applicants please drop me a message and send a CV to hongliangfei@baidu.com.
Link:
None
Senior Data Scientist
Hulu
At Hulu, number one priority is our customers. We make business decisions around our customers’ preferences. The Data Science Team at Hulu combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of Hulu’s product offerings and content. We are looking for data scientists who are passionate about using data to drive strategy and product recommendations. You will be engaged with senior leaders to design well-constructed analyses and work cross-functionally with analysts, product managers and engineers to effectively deliver actionable results. You will work on variety of domains such as data science, machine learning and optimization; lead groundbreaking analytical solution development pipeline and contribute to external research via attending conferences and collaborations.
(For more details see the link below.)
Link:
https://www.hulu.com/jobs/positions/oariafwd
知名互联网公司高端职位
国内知名互联网公司
contact me & let’s have some chat about these opportunities
Link:
Wechat:letsgoyay
Data Scientist (all levels）
Mind Rank Ltd.
Language: English + Chinese
Location: Hangzhou/ Beijing , China
Positions:
DS Director / Data Scientist / Data Scientist Intern
Contact:
Wechat: hereisalpha
Or email
Link:
mindrank.ai
Applied Researchers at all Levels
Tencent
The Center of Applied Research at Tencent PCG is Looking for ML, DL, DM applied researchers to solve challenging problems in content creation, understanding and recommendation for a suite of social media and content distribution products. We have both internship and full time positions. The later requires PhD and at least 2 top tier conference or journal papers.
Data/AI Scientists + Engineers (Senior/Lead/Principal)
Target
We’re growing our data sciences team at Target!
We’re currently hiring data and AI scientists And engineers experienced in AI, machine learning, deep learning, optimization, computer vision, reinforcement learning, stochastic modeling, a/b and multivariate testing, simulation, anomaly detection, personalization, and so much more!
Hiring in Sunnyvale, CA and Minneapolis, MN!
DS all levels @Home Depot
Home Depot
We are at booth 47. Or message us on the Home Depot@KDD community
Link:
None
Data Scientist in Pharmaceutical Company
Eli Lilly and Company
How would you like a career where you get to use your best analytical skills to make a substantial difference in the well-being of people across the globe? Bring YOUR skills and talents to Lilly and our Advanced Analytical and Data Sciences organization where you'll have the opportunity to make an impact on the lives of patients. As an innovation driven company we work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. Our Advanced Analytical and Data Sciences organization is growing to support the entire Lilly enterprise, from Discovery to Development to Manufacturing and Commercialization of our medicines. To solve the complex problems of a global business and the ever-evolving data and analytics landscape, the organization generally requires advanced degrees in statistics, mathematics, econometrics, operations research and computer science. We are playing a leading role in transforming the way the company discovers and develops new treatments, identifies personalized treatment regimens, drives efficiency in our operations and optimizes our commercialization of new products. WE are doing this with an emphasis in the areas of machine learning and artificial intelligence, natural language processing and other approaches to unstructured data, advanced mathematical and predictive modeling, visual analytics and more. Whether you are intrigued by the research and development of new medicines or optimizing our commercialization/business, or driving efficiency into our operations, we have a position for you. You will be encouraged to identify important business problems and to further your own research interests in these areas including presentations and publications at professional meetings.
Data Scientist at a Seattle Unicorn Startup (All levels)
Outreach.io
We have two focus areas: (1) NLP and (2) Applied machine learning / experimentation and causal inference on behavioral data (sales rep engagement activities with prospects and customers).
Outreach.io is a leading Software as a Service (SaaS) platform for B2B sales engagement. We leverage workflow automation and data science to improve the efficiency and effectiveness of sales professionals. Outreach is serving 3000+ companies. Our delighted customers include Amazon Web Services, Adobe, Workday, DocuSign, Zillow, Glassdoor, Cloudera, Pandora, CenturyLink, and GE.
We have 400 employees, have raised $239 million in funding and valued at $1.1 billion. We have been more than doubling revenue every year in the past three years. LinkedIn ranked Outreach as the #15 in their LinkedIn’s Top 25 Startups List for 2018.
https://jobs.lever.co/outreach/120d5308-1338-4ed6-afcf-56210b52f716
Link:
https://jobs.lever.co/outreach/120d5308-1338-4ed6-afcf-56210b52f716
ML Applied Scientist - Sensor+Health Data
Evidation Healrh
Evidation Health is a new kind of health and measurement company that provides the world’s most innovative biopharma and health care companies with AI technology to understand how behavior and health interact in everyday life.
Over the years, Evidation Health has built the largest, most diverse virtual pool of research participants through its proprietary and popular app, Achievement. With more than 2 million individuals, this cohort is unparalleled in clinical research today.
We use machine learning on individual-permissioned data consisting of high-frequency physiological signals from smartphones, remote sensors, and other connected devices to derive measures of health status and disease progression validated against ground truth robustly collected from research participants in everyday life. We look at a wide array of problems, ranging from quantifying progression of cognitive decline from longitudinal voice recordings to developing screening algorithm for chronic diseases based on patterns of mobility and sleep from commercial wearable devices. See more at evidation.com/research.
QUALIFICATIONS
- PhD in Computer Science, Statistics, or related fields
- Deep theoretical understanding of representation learning, deep learning, with applications to time series and signal processing
- Experience with deep learning frameworks (PyTorch, Tensorflow, MXnet)
- Excellent coding skills in python (pandas) or R
- Excellent knowledge of statistics, especially methods for longitudinal designs.
- Care for the patient. And constant awareness that behind every data point there’s an individual.
- Bias to action and proactive attitude. In healthcare things rarely happen by themselves.
- Kindness. You’ll be part of a diverse team of data scientist composed of neuroscientists, biostatisticians, epidemiologists, behavioral economists, and computer scientists.. Evidation.com/careers Please contact
Link:
http://Evidation.com/careers
NLP Data Scientist
S&P Global
The Team: The Data science team is a newly formed applied research team within S&P Global Ratings that will be responsible for building and executing a bold vision around using Machine Learning, Natural Language Processing, Data Science, knowledge engineering, and human computer interfaces for augmenting various business processes. As an NLP Data Scientist, you will work on projects related to information extraction from financial documents, and processing/normalization of unstructured text data.
The Impact: This role will have a significant impact on the success of our data science projects ranging from choosing which projects should be undertaken, to delivering highest quality solutions, ultimately enabling our business processes and products with AI and Data Science solutions.
What’s in it for you:
This is a high visibility team with an opportunity to make a very meaningful impact on the future direction of the company. You will work with senior leaders in the organization to help define, build, and transform our business.
You will work closely with other senior scientists to create state of the art Augmented Intelligence, Data Science and Machine Learning solutions.
The team actively participates in top-tier academic and industry conferences by publishing research and organizing workshops. Depending on your interest, you can be part of these efforts.
Link:
https://careers.spglobal.com/ShowJob/Id/2104475/NLP-Data-Scientist/
Data scientist
Wework
The Revenue Optimization team focuses on building the foundations for pricing/yield management and inventory optimization through state-of-the-art analytics and predictive modeling. Our team is looking for an experienced Data scientist to execute on the vision for development of WeWork's proprietary pricing recommendation engine.
We are looking for Data Scientists with strong mathematical backgrounds to work alongside our engineering teams to build the next generation pricing models for the real estate and co-working industry. The ideal candidate is one that is excited by machine learning at scale, eager to solve business problems using the findings of data and analytics, dive into the literature researching the right models, and develop and maintain production code that serve the models.
Responsibilities
Partner with Product, Data and Engineering teams to drive feature development end-to-end.
Design, develop and deploy components of our ML products and platforms for feature engineering in production environments.
Develop predictive and other machine-learning models to enhance and increase user adoption and acceptance of our pricing recommendation tools with key stakeholders across the organization.
Perform exploratory analyses on various data sources (internal and external) with the goal of generating insights, such as new features, that can be used in our data science models or used as product features on our tools to enable better decision-making.
Work with the rest of the product and engineering teams to implement and ship production-level code.
Peer review other data scientists' contributions.
Requirements
Bachelor's degree in Computer Science, Statistics, or a related quantitative discipline is required (MS is a plus).
4+ years of Data engineering / data science experience.
Expert knowledge of Python and SQL, or similar industry standard tools used for large-scale data analysis and modeling (e.g. sklearn, gensim
Senior Machine Learner in Bonn, Germany
Fraunhofer IAIS
Fraunhofer is the biggest organization for applied science in Europe. In 2018, in the research category of the Trendence Graduate Barometer, we were named»TOP 1 Employer Germany«.
In Fraunhofer IAIS, more than 270 employees develop customized solutions for data analysis for our research partners and customers in the industry. We apply cutting edge machine learning solutions in areas such as autonomous driving, industry 4.0, healthcare, cognitive process automation and big data applications. Our current research focus is on hybrid knowledge- and data-based machine learning, trustworthy AI and their applications.
Your tasks include:
· Conception, development and implementation of new methods of machine learning and their application in real-world projects with our industry partners
· Scientific publication in high-level machine learning conference and supervision of junior researchers
· Conducting data science trainings
What we expect from you:
· You have successfully completed your PhD in Machine Learning or a similar subject (e.g., mathematics, physics) and are familiar with mathematical methods of data analysis.
· You have academic and practical experience in machine learning e.g. in deep learning, Bayesian methods, logic-based machine learning or kernel methods
· You're able to speak and write English fluently; your German is good (B2) or you are, with our support, willing to achieve good German skills quickly
What you can expect from us:
· Friendly and open colleagues. We are always happy to welcome new talents among us and are open to your ideas. We are passionate about our bringing our projects to success and work in an international and very dynamic environment.
· An environment that takes ethics and responsibility seriously – we dare to question new developments and put an emphasis on data protection.
· You have the possibility for growth into a leadership role
Link:
http://www.iais.fraunhofer.de
Machine Learning Engineer/Scientist
Health at Scale
Health at Scale is a rapidly growing healthcare machine intelligence startup founded by machine learning and clinical faculty with strong ties to MIT, Stanford, Harvard, and U-Michigan, and backed by leading investors.
We continuously push the boundaries of machine learning, and we are passionate about bringing together exceptionally talented individuals to drive the endless possibilities to improve healthcare.
We are looking for machine learning engineers and scientists to
- Design and implement new predictive machine learning technologies
- Engineer machine intelligence systems and infrastructure for real-world production use at scale
- Extract novel insights from healthcare datasets to improve outcomes and economics of care
- Design experiments and conduct rigorous analytical studies for evaluation and improvement
Health at Scale is located in the Bay Area, CA. We offer competitive salary, stock options, high-qualify health benefits, parental leave benefits, and flexible work hours.
Link:
www.healthatscale.com
Data scientist
United Technologies
We are hiring for Data Scientists, Senior Data Scientists, and Data and Analytics Strategy Leads in our Brooklyn, NY and Atlanta, GA offices.
If you want to use data science and machine learning for real use cases in the Aerospace and Defense industry, come find me and let’s talk.
Link:
None
Machine Learning Engineer - Discovery Teams
Twitter
Do you want to make a huge impact while working with large data sets at scale? If so, a Discovery team is a good fit for you! These high-impact teams value creativity, critical thinking, and teamwork.
We're hiring for the following teams :
Onboarding - Building product features to help users onboard, learn how to use Twitter, and consequently hire us to stay informed about what matters to them and join the public conversation.
Returning User Experience - Bringing people to Twitter and connecting them with the value Twitter can provide every day.
Recommended Notifications - Building a suite of machine learning models to ensure we send relevant & delightful push notifications to our users.
Requirements:
B.S., M.S. or Ph.D. in Computer Science or equivalent degree and work experience.
Knowledgeable in one or more of the following: machine-learning, information retrieval, recommendation systems, social network analysisDesigned and evaluated approaches for handling high-volume real-time data streams.A strong technical advocate with a background in Java, C++, or Scala, and Python.Comfortable conducting design and code reviews.Experienced in operating Linux-based systems.Knowledgeable of core CS concepts such as: common data structures and algorithms, profiling/optimization.Passionate about working with large unstructured and structured data sets ( for example multi-terabyte+, 100MM+ daily transaction volumes).Experienced in collaborating across multiple teams including analytics, product management, and operations.
Link:
https://careers.twitter.com/en/work-for-twitter/201907/machine-learning-engineer-discovery-teams.html
Data Scientist (Twitter Cortex Applied Research)
Twitter
Here are some public examples of recent work at Twitter related to what we work on:
ML approaches to ensure healthy conversations on Twitter
Investigations of foreign interference in political conversations.
Deep Learning for new user recommendations
Embeddings for different Twitter entities.
We use machine learning, statistical modeling, time series modeling, and many other analytical techniques to process very large scale datasets. We build prototypes, prove their offline effectivity, and work together with the product teams to push them to production.
What You’ll Do:
You will be a key member of the Cortex Boston Product Modeling team, which consists of experts in ML, data science, and software engineering. You will be working closely with our partners in engineering, product, design, and user research to directly influence the exciting new product areas that Twitter is building. You will:
Conduct studies to learn from our vast amount of data, including exploratory data analysis, investigating A/B test results, observational and network data, etc.
Examine user behavior at scale, ranging from individual-level attributes to user populations in order to inform our modeling efforts
Apply advanced statistical and machine learning techniques to model user behavior, identify causal impact and attribution, and build and benchmark metrics.
Use tools for interacting with large datasets such as Scalding, Spark, and Presto.
Work closely with our ML and software engineers to develop new models
Use Python to conduct complex data processing.
Use data visualization tools (e.g. Tableau or Zeppelin)
(more information at: https://careers.twitter.com/en/work-for-twitter/201812/data-scientist-applied-research-cortex1.html)
Link:
https://careers.twitter.com/en/work-for-twitter/201812/data-scientist-applied-research-cortex1.html
Data Science Manager, Uber Eats
Uber
About the Role
Are you interested in working at the intersection of applied quantitative research, engineering development, and data science? Do you have interest in leading and growing a top-notch science team at Uber to develop and apply quantitative solutions related to Uber's uniquely challenging problems? If so, this is the job for you.
What You'll Do
We are specifically looking for a data science lead/manager in SF office to spearhead the challenging modeling and algorithmic development work in the pricing space for Uber Eats. You are in charge of managing and developing a group of data scientists to tackle impactful problems such as delivery fee optimization, real-time busy area fee, menu price recommendation, targeted user promotion, loyalty mechanism design, etc. Your efforts will critically impact the growth, efficiency, and reliability of Uber Eats' marketplace.
We are looking for someone with advanced quantitative degrees (PhD preferred) who is comfortable enough with research methodologies that they can address abstract business and product problems with utmost precision, and who also has the passion and experience in leading and empowering a group of geniuses to accomplish extremely ambitious goals.
What You'll Need
Minimum 4 years industry experience in data analytics and quantitative modeling, with significant work experience as a technical contributor.
Prior management / team-lead experience. You'll be leading several direct reports initially and will have the opportunity to create, scale and nourish a team of experienced professionals.
Excellent educational background in a quantitative field, such as Operations Research, Economics/Econometrics, or Machine Learning; graduate degree required and PhD degree preferred.
Self-starter and collaborative leader. Everywhere you go, you can't help but mobilize people, build things, resolve problems, get into the details, go above and beyond, and draw out the best in people. You are a doer and motivator
Link:
https://www.uber.com/global/en/careers/list/50623/
Machine Learning Engineer - Recommendations & Search Quality
Twitter
Details can be found in https://careers.twitter.com/en/work-for-twitter/201902/machine-learning-engineer-connect0.html
Twitter's Connect Team is responsible for core features of twitter.com, which includes Search, Recommendations, Events, and more! Our code operates at massive scale and speed, serving billions of requests per day, connecting hundreds of millions of active Twitter users to real-time information about their lives and the world we live in.
Who We Are:
At Twitter, our mission is to instantly connect users to the information most meaningful to them. Realizing this involves work in areas such as machine learning, applied data science, recommendation systems, information retrieval systems, natural language processing, large graph analysis, spam, etc.
Do you want to make a huge impact while working with large data sets at a really big scale? If so, this might be a good fit for you! Consumer Product teams are hiring Machine Learning Engineers in the following areas:
Recommendations - Combining real time relevance, richer timelines, and recommendations, to put the most interesting and relevant content in front of our users at all times.
Event Recommendations - Detecting the pulse of conversations on Twitter while surfacing the most relevant Events & Topics to users, based on real-time engagement on the platform.
Search Quality - Building the real-time search engine for Twitter, finding, personalizing and organizing relevant content for users. You will create algorithms to understand the users' intent through query and context, to rank and organize content, and to extract insights to make suggestion, to help user better navigate content on Twitter, by solving a wide range of problems in IR/NLP/ML, etc.
Link:
https://careers.twitter.com/en/work-for-twitter/201902/machine-learning-engineer-connect0.html
Data Scientist
Amazon
Business/Team Introduction
The Amazon Demand Forecasting team seeks a Data Scientist with strong analytical and communication skills to join our team. We develop sophisticated algorithms that involve learning from large amounts of data, such as prices, promotions, similar products, and a product’s attributes, in order to forecast the demand of over 190 million products world-wide. These forecasts are used to automatically order more than $200 million worth of inventory weekly, establish labor plans for tens of thousands of employees, and predict the company’s financial performance. The work is complex and important to Amazon. With better forecasts we drive down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.
Data Scientist Responsibilities
In a typical day, you will work closely with talented machine learning scientists, statisticians, software engineers, and business groups. Your work will include cutting edge technologies that enable implementation of sophisticated models on big data. As a successful data scientist in our Demand Forecasting team, you are an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems in Demand Forecasting, through collaboration with engineering, research, and business teams. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.
Please find the job link for more details.
Link:
https://www.amazon.jobs/en/jobs/903583/data-scientist-demand-forecasting
Sr. Applied Scientist
Amazon
The Amazon Demand Forecasting team seeks a Senior Applied Scientist to join our team. Scientists in Demand Forecasting lead the development of novel algorithmic architectures, toward the ultimate goal of accurately predicting customer demand for millions of products world-wide. This drives down supply chain costs and enables the offer of lower prices and better in-stock selection for our customers.
Working collaboratively, you will develop solutions to complex problems, such as designing the next generation of algorithms to drive the Supply Chain. As a Senior Applied Scientist, you will continue to contribute to the research community, by working with other scientists across Amazon and our Supply Chain, as well as collaborating with academic researchers and publishing papers. Within Demand Forecasting, our Science community values teamwork, supports continued learning, and recognizes the need to take risks and try new ideas that may fail. Furthermore, our builder culture means that Scientists and Software Development Engineers work closely together to invent and construct at a massive scale. Your work can be part of Amazon production system and result in concrete business impact. Recent work from Demand Forecasting includes papers presented at the NIPS 2017 Time Series Workshop, KDD 2018 Time Series Workshop, and ICML 2018 Deep Generative Models Workshop.
More please find in the job link
Link:
https://www.amazon.jobs/en/jobs/844659/senior-applied-scientist
Applied Scientist
Amazon
The Amazon Demand Forecasting team seeks an Applied Scientist to join our team. Scientists in Demand Forecasting lead the development of novel algorithmic architectures, toward the ultimate goal of accurately predicting customer demand for millions of products world-wide. This drives down supply chain costs and enables the offer of lower prices and better in-stock selection for our customers.
Working collaboratively, you will develop solutions to complex problems, such as designing the next generation of algorithms to drive the Supply Chain. As an Applied Scientist, you will continue to contribute to the research community, by working with other scientists across Amazon and our Supply Chain, as well as collaborating with academic researchers and publishing papers. Within Demand Forecasting, our Science community values teamwork, supports continued learning, and recognizes the need to take risks and try new ideas that may fail. Furthermore, our builder culture means that Scientists and Software Development Engineers work closely together to invent and construct at a massive scale. Your work can be part of Amazon production system and result in concrete business impact. Recent work from Demand Forecasting includes papers presented at the NIPS 2017 Time Series Workshop, KDD 2018 Time Series Workshop, and ICML 2018 Deep Generative Models Workshop.
Link:
https://www.amazon.jobs/en/jobs/861813/applied-scientist
Senior Machine Learning Engineer, AI Personalization @ Zillow Group
Zillow Group
https://careers.zillowgroup.com/ShowJob/JobId/325717/Senior-Machine-Learning-Engineer%2C-AI-Personalization
Happy to chat at KDD, send an email at shrutik@zillowgroup.com or find me on Wheva.
Link:
https://careers.zillowgroup.com/ShowJob/JobId/325717/Senior-Machine-Learning-Engineer%2C-AI-Personalization
Data Scientist
Verizon Media
You will work in the R&D team in close collaboration with the IT team and the product guys to build awesome real-time + big-data algos to power Verizon Media products.
You will be in charge of the follow-up and evaluation of existing algos and propose improvements and new approaches.
You will provide expertise and technical leadership in mathematical modelling, statistics, machine-learning and algorithm design for big-data or real-time processing.
You will take part in the design of new algos.
You will contribute to the toolset of the team, building machine learning libraries, coding or testing frameworks.
You will take part in the design of some data-viz aspects of our products.
You will help foster a culture of best practice in data-science.
You will participate to the scientific communication efforts of Verizon Media.
Apply here
https://oath.wd5.myworkdayjobs.com/careers/job/FR---Paris/Data-Scientist_JR0010547
Link:
https://oath.wd5.myworkdayjobs.com/careers/job/FR---Paris/Data-Scientist_JR0010547
PhD Student at the University of Washington
University of Washington
Interested in Data Science for human behavior and well-being? We have several openings for PhD positions at UW CSE starting Fall 2020.
Link:
bdata.uw.edu
Data Scientist at Fiddler Labs
Fiddler Labs
At Fiddler Labs, we are building a general purpose Explainable AI engine. We are a bunch of technologists from Facebook, Google, Twitter and Pinterest and are backed by incredible investors. If you are interested, please send me an email to krishna@fiddler.ai
Link:
www.fiddler.ai
Permanent Professorship in Scalable Machine Learning Systems
University of Bonn
The Institute of Computer Science at University of Bonn is seeking applications for a tenured W2-Professorship in Data Science and Intelligent Systems with focus area in one of the following topics:
+ Scalable Algorithms and Systems for Data Management
+ Data Driven Analysis and Machine Learning Algorithms
+ Artificial Intelligence Applications and Systems
For the announced position, we especially encourage young researchers to apply.
If you are interested in the position, you can talk directly to me and drop me a message via Whova during KDD!
Link:
https://research.cs.wisc.edu/dbworld/messages/2019-07/1562574294.html
Applied Scientist (multiple levels) at Microsoft M365
Microsoft
We are the Microsoft 365 Substrate team, the engine that powers Office 365 and many other critical products within Microsoft Cloud. Office 365 is the largest collaboration service in the world with 100s of millions of consumer/enterprise mailboxes, documents and conversations, it represents the world’s largest platform of human collaboration for personal, business and educational use. We are a massively distributed cloud service with O(exabyte) data handled by O(300K) servers in O(300) data-centers around the entire globe. By incorporating machine learning techniques and data analytics into the services we deliver, we enable highly personalized, self-learning experiences and suggestions that make each user be more productive every time they use the service.
As part of this team, we have bold goals: we want to build AI/ML scenarios and platform with cutting edge tech that encompasses data collection, feature engineering, model training, extensive experimentation, deploying, productization, and monitoring of machine learning models involving text, image, audio/video. Our scenarios require use of the latest machine reading comprehension, QnA, Deep Learning, NLU and NLP to improve and automate business process and generate knowledge and insights for M365.
You don't want to miss out on the opportunity to shape the future of intelligent applications in Office 365! We are looking for an applied Scientist to work on the AI/ML initiatives for the organization for scenarios that have a tremendous impact on the Office 365 business. The candidate should be knowledgeable in AI techniques, with a focus on problem-solving, rather than a particular method or tool kit. The candidate should be open to exploring various cutting-edge AI technologies and applying them on large scale data. The candidate has demonstrated experience helping build and ship machine-learning models to customers based on real-world scenarios.
See Job Description in link for more details.
Link:
https://careers.microsoft.com/us/en/job/599978/Senior-Data-Applied-Scientist
Data Scientist (Growth)
Pinterest
We’re looking for a data scientist to help us connect Pinners to actionable content that improves their experience. You’ll apply quantitative analysis, modeling and data mining to improve the the relevance of Pins across our Ads, Content and Feeds products and build out Pinterest’s business.
What you’ll do:
- Perform deep dive analyses to understand and optimize the key levers of our growth ecosystems
- Design core metrics that serve as the North Stars for team efforts and model tradeoffs across product areas
- Apply statistics, modeling and ML to improve the efficiency of systems and relevance algorithms across Growth Initiatives
- Work with product managers and engineers to design data products and debug A/B experiments
What we’re looking for:
- 4+ years of industry experience with proven ability to apply scientific methods to solve real-world problems on web scale data
- Expert in at least one scripting language (Python/R)
- Proficient in SQL/Hive
- Proven ability to apply scientific methods to solve real-world problems
- Knowledgeable about the machine learning trade-offs and model evaluation
- Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams
Link:
https://careers.pinterest.com/careers/details/1807876
Machine learning researchers and engineers
Japan digital design, Inc
Learning Mathematical Informatics Lab at the University of Tokyo and MUFG AI Studio(M-AIS) seeks researchers and engineers in the areas of machine learning (deep learning and probabilistic models) and related fields.
We are looking for applicants who have a demonstrated research background in machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research.
MUFG(Mitsubishi UFJ Financial Group) is a Japan based Global financial service group which includes MUFG Bank (the biggest bank in Japan).
In order to make new business innovation in MUFG, we, Japan Digital Design setup MUFG AI Studio “M-AIS” in April 2018 to aim to make a place to “try it first”, “just do it” and “always challenge it” the new idea coming together with new big-data, cutting-edge technology and the highly diverse team of people.
Our mission is to create new business innovations through ambitious researches on the artificial intelligence technology.
As a researcher, you will be able to access large-scale financial transaction data and powerful computer systems including GPUs.
[MEMBERS]
Experienced members are gathered from major IT companies and good startups that have never been in a banking organization.
In addition, we invite people who are still active at the forefront in various fields as technical advisors and have a system in place to support agile development in small teams.
[ROLE RESPONSIBILITIES]
- Participate in cutting edge research in machine learning and machine learning applications in financial services, such as credit scoring, market forecasting, marketing and fraud detection. Specific subfields of research may include: Graph CNN, representation learning, few shot learning, explainability in deep learning and probabilistic models.
- Leverage on the MUFG proprietary data and GPU-compute infrastructure to develop machine le
Link:
https://www.japan-d2.com
Applied Scientist - Sponsored Brands Auction
Amazon
Want to be at the frontier of machine learning, advertising, and e-commerce? Do you want to work in one of the most challenging fields of research at one of the world's largest companies? Do you want to make ads more engaging for customers?
If so, and you have a PhD in a machine learning field, two publications, and a strong desire to work hard, have fun, and make history, then please contact me.
Relocation provided including internal Amazon employees.
Link:
None
Software Development Engineer - Sponsored Brands
Amazon
Want to work with world class scientists and engineers? Do you love putting advanced machine learning models and processes in real time bidding servers? Are you deeply concerned with the latency and throughput of deep learning models in synchronous real time evaluation?
If so, and you have 3+ years work experience in Java or equivalent, please contact me.
Link:
None
Data Science Analytics/ Sr. Consultant
CNA
Headquartered in the heart of downtown Chicago, CNA is a leading commercial and specialty insurer, offering a diverse range of insurance products.
The data science team is looking to fill several openings at different levels. The successful candidate will use advanced statistical and machine learning methods to build state-of-the-art predictive, prescriptive or descriptive models and provide innovative analytical solutions for pricing, claims, operations, underwriting and marketing for an exciting mix of business insurance products, leveraging rich sources of high dimensional data ( internal, external, structured, unstructured).
For more information, please feel free to reach out or visit the career website listed below (keyword : data science)
Link:
www.CNA.com/careers
AI Application algorithm development expert
Inspur
Responsibility
1. Tackling relevant AI key technologies and forming high-precision AI algorithm and model products;
2. Study the AI application algorithm and model realization of typical scenes, completed engineering projects and form AI application solutions.
Qualifications
1. Master's degree or above in automation, mathematics, artificial intelligence, computer vision, data mining or other related majors;
2. Have the theoretical system and algorithm system of a certain direction, such as image, video, NLP, familiar with machine learning, deep learning algorithm, and have the ability of AI application algorithm design;
3. At least one complete AI application project development experience, deep learning project experience is preferred;
4. Based on GPU platform, proficient in at least one deep learning framework such as Caffe, Tensorflow, mxnet and PyTorch;
5. Familiar with C or C++ or Python programming under Linux;
6. Strong communication skills, learning ability, problem solving ability, fluent oral English communication skills are preferred.
Link:
http://www.inspursystems.com/
AI Computing performance optimization expert
Inspur
Responsibility
1. Responsible for performance optimization in the field of high-performance computing;
2. Responsible for HPC user-related application tuning projects;
3. Research the application properties, characteristics and performance improvement methods of high performance computing.
Qualifications
1. Computer related major, master degree or above;
2. Be familiar with relevant basic principles and calculation methods, and be able to use common application software on large-scale computing clusters, and get familiar with the less used applications quickly;
3. Experience with large-scale computer cluster is preferred.
Link:
http://www.inspursystems.com/
AI Solution system architect
Inspur
Responsibility：
1. Deeply involved in AI calculation and reasoning platform, tested and optimized the platform performance;Quick mastery of the latest machine learning tools;
2. Cooperate with AI users to form typical scenarios and research topics of application performance optimization, so as to improve the efficiency of the platform from multiple levels.
Qualifications
1. Master's degree or above in automation, computer science and technology, artificial intelligence, machine learning and other related majors;
2. Familiar with Linux and shell programming, able to operate and use at least one deep learning framework (tensorflow, caffe, pytorch);
3. Familiar with python programming language, able to use machine learning related libraries;
4. Experience in machine learning, data mining, deep learning and other data processing projects;
5. Have the ability of cuda, mpi and other parallel programming is preferred; familiar with the work of performance optimization and the use and debugging of network, database and GPU is preferred;
6. Strong communication skills, learning ability, problem solving ability, fluent oral English communication skills are preferred.6. Strong communication skills, learning ability, problem solving ability, fluent oral English communication skills are preferred.
Link:
http://www.inspursystems.com/
Applied researchers at eBay Search Science - all levels
eBay
eBay Search connects 200 million active buyers to more than 1 billion listings around the world. We are looking for brilliant applied researchers at various levels to work on NLP, ranking and relevance, whole page relevance, personalization, and search monetization. If you are interested, send your resume to alalu@ebay.com or message me on Whova.
Sr.Research Scientist
Amazon
Amazon aims to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon has invested in a world class Amazon Last Mile operation.
We are looking for a dynamic, resourceful, and organized Research Scientist to join Amazon Last Mile operations. Amazon Flex (https://flex.amazon.com/) works directly with independent contractors – called delivery partners – to make deliveries to our customers, and Amazon Delivery Service Providers (https://logistics.amazon.com/) program helps entrepreneurs build local delivery operations delivering Amazon packages.
As part of the Last Mile Science & Technology organization, you’ll partner closely with Science, Product, and Program teams to lead initiatives in the fraud space, using statistical best practices to learn from multiple data sources. You will be expected to be a subject matter expert in quantitative analysis and to communicate highly complex findings to multiple audiences.
In addition to designing building various statistical models/ analyzing data, you must be able to see a full loop vision connecting research to actionable recommendations, collaborating closely with multiple teams to ensure the relevance and impact of your work to business stakeholders. You will be expected to be a thought leader as we develop new products within Last Mile- Fraud Operations.
In this role you will:
· Use predictive analytics and machine learning techniques to solve complex problems and drive business decisions
· Develop new algorithms to discover patterns of risks, abuse and help reduce overall levels of fraud in our driver pool
· Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area
· Build ML models to appropriately classify the fraud risk (Identity & Execution) of every Driving Partner (DP) in our pool
Link:
None
Sr.Applied Scientist
Amazon
Amazon Flex is re-imagining what it means to work, and we need your help. We're in search of an applied science thought leader to help us solve machine learning problems around classification, language understanding and business optimization.
Flex (flex.amazon.com) is a gig economy program that lets anyone become their own boss (a "delivery partner") and set their own schedule, by delivering packages to Amazon customers. The Flex app coordinates delivery partners' work with Amazon's cutting-edge logistics technologies. It's the home to every feature a delivery partner would need: on-boarding, delivery scheduling, routing and navigation, tracking their earnings, and more. Delivery partners are a key ingredient in ensuring a great experience for Amazon's customers, and we're building features to engage with our partners like never before.
Do you enjoy...
· Directly impacting how customers experience your products?
· Leading a major change in how people are recognized for their work?
· Working alongside creative, fun and motivated teammates?
· Solving complex problems at massive scale?
· Anticipating the next big problem to solve?
Then join the team.
BASIC QUALIFICATIONS
· PHD/MS. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
· At least 5+ years of hands-on experience in predictive modeling and analysis
· Proficiency in model development, model validation and model implementation
· At least 2+ years hands on experience programming in R, Java, C#, C++ or other similar programming languages
· Hands on experience with scripting languages such as Python, Perl
· Work well in a fast-moving team environment and effectively deliver technical implementations having complex dependencies and requirements
PREFERRED QUALIFICATIONS
· Strong communication and data presentation skills
· Significant peer reviewed scientific contributions in relevant field
· Extensive experience applying theoretical models in an applied enviro
Link:
None
Sr.Applied Scientist
Amazon
Amazon’s location and predictive routing inputs play a crucial role in our vehicle routing problems and other critical applications for Amazon , Prime Now, and other Amazon businesses. As part of the Last Mile Science & Technology organization, you’ll partner closely with ML and Operations Research scientists as well as scientists from other disciplines (e.g. economics and statistics) in a collegial environment with a clear path to business impact. You will be responsible for developing new predictive and optimization models and algorithms for key applications. You will be expected to be a thought leader as we chart new courses with our delivery support technologies. Successful candidates will have a deep knowledge of competing statistical and machine learning methods for large scale prediction problems, the ability to map models into production-worthy code, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long term problems.
BASIC QUALIFICATIONS
· PhD in Computer Science, Mathematics, Statistics, or other quantitative field with exposure to statistical modeling and machine learning
· 6+ years of applying machine learning for solving real-world problems in industry
· Proficiency in C/C++, Java, or Python
· Proficiency with at least one machine learning or statistical modeling library (R, Matlab, Scikit-learn)
· Past delivery of large-scale ML solutions for complex business problems
· Outstanding written and verbal communication skills
PREFERRED QUALIFICATIONS
· Publications in top ML conferences or journals
· Experience with a popular deep learning toolkit (TensorFlow, MXNet, PyTorch, Caffe etc)
Link:
None
Research intern for time-series analysis
MICROSOFT
We built a time-series monitor system inside
Microsoft. The system has been used by lots of Teams inside Microsoft. We also published anomaly detector service on Azure this year. Please join us if you are interested in time-series mining
Link:
None
Researcher
Microsoft Research Asia
We are System Intelligence Group in MSRA. We are recruiting researchers who are interested in solving real world problems by a coordination of system and Artificial Intelligence.
Link:
None
Applied researcher (all levels)
LinkedIn
If you are excited to work in the space of causal inference, optimization, forecasting, fairness or privacy, this is for you!
Link:
None
Data scientist (all level)
LinkedIn
If you are excited to apply your quantitative data science skills to make LinkedIn product, marketing or sales better, this is for you!
Link:
None
Healthcare Data Scientist in Bonn, Germany
Fraunhofer IAIS
Fraunhofer is the biggest organization for applied science in Europe. In 2018, in the research category of the Trendence Graduate Barometer, we were named»TOP 1 Employer Germany«.
In Fraunhofer IAIS, more than 270 employees develop customized solutions for data analysis for our research partners and customers in the industry. In our new business field of healthcare analytics, we apply innovative machine learning solutions with a focus on process automation from medical texts such as EHR, doctors letters and medical publications as well as analyzing structured data from hospitals and the pharmaceutical industry. Our current research focus is on integration of medical knowledge into machine learning and trustworthy AI.
Your tasks include:
· Conception, development and implementation of new methods of machine learning and their application in real-world projects with our industry partners such as hospitals and pharmaceutical companies
· Scientific publication in high-level machine learning conferences
What we expect from you:
· A passion for making an impact on people's lives by developing next generation healthcare solutions
· A masters degree in computer science or a similar subject (e.g., mathematics, physics) with a focus on data science, ideally applied on healthcare problems.
· You're able to speak and write English fluently; your German is good (B2) or you are, with our support, willing to achieve good German skills quickly.
What you can expect from us:
· Friendly and open colleagues. We are always happy to welcome new talents among us and are open to your ideas. We are passionate about our bringing our projects to success and work in an international and very dynamic environment.
· An environment that takes ethics and responsibility seriously – we dare to question new developments and put an emphasis on data protection.
· Possiblity to pursue your PhD through our affiliation with the University of Bonn.
Link:
http://www.iais.fraunhofer.de
AI Research Scientist
Bloomberg LP
Each year, Bloomberg donates over 80% of our profit to charities, institutions, and causes that are making the world a better place. Join our AI team to solve the most interesting ML and NLP challenges, and feel good about it!
Link:
bit.ly/NLP_NYC
Manager - Applied Scientist
Amazon
Are you seeking an environment where you can drive innovation? Do you want to apply machine learning techniques and advanced statistical modeling to solve real world problems in Supply Chain, Inventory Management and Simulation? Do you want to play a crucial role in the future of Amazon's Retail business?
Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize inventory acquisition, enable a number of purchase options, ensure great pricing, store products so they are available for fast delivery, and minimize package frustration. The Supply Chain Optimization Technology (SCOT) Group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it. The SimEx (Simulation and Experimentation) team is responsible for designing and executing the simulations and experiments that measure the impact of SCOT initiatives. We are looking for applied scientists to drive innovation in SCOT by pushing our system further upstream in the innovation process, developing new techniques, and applying existing models to our problem space and beyond. Key responsibilities of an Applied Scientist manager in SimEx include:
· Leading a team of applied and research scientists developing new statistical, simulation, and machine learning techniques to drive innovation via our simulation and in-production experimentation systems
· Working with technical and non-technical customers to design experiments and communicate results
· Collaborating with our dedicated software team to create production implementations for large-scale data analysis
· Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business
· Presenting research results to our internal research community
· Leading training and informational sessions on our science and capabilities
Link:
https://www.amazon.jobs/en/jobs/776773/manager-applied-scientist
Data Scientist (entry to senior)
VideoAmp
As a member of our Data Science team, you will be a fundamental force in shaping our company’s data strategy innovating the $85B digital and linear television advertising market. Your work will have an outsized impact on tools we’re building forecasting, planning, allocation, and audience behavior prediction. Work with Pb-scale data sets representing the total US video and TV audiences. You will build new, and support scaling out existing models in support of audience segmenting. You will be working with the data-engineering team to productionize ML pipelines and coordinating data models with other engineering teams.
You’ll need experience building data models, and managing ML pipelines :
PhD in Data Science, Physics, Mathematics or other scientific field
Managing ML pipelines with tools such as Python, Julia, and Apache Spark
SQL fluency and an understanding of relational data models.
Comfortable in the Linux environment.
A master of all trades mentality and an ability to embrace new challenges regularly.
Eager and energized to work with some of the latest open source technologies.
Authorized to work in the US
Able to work on-site in Los Angeles, CA
Link:
https://www.videoamp.com/job?gh_jid=4283319002
Member of Technical Staff (Researcher)
Nokia Bell Labs
AI systems research and robotic system research at the Application Platforms and Software Systems Research Lab, Nokia Bell Labs.
Please see https://delfin.ai/recruiting/ for details.
Link:
https://delfin.ai/recruiting/
Senior Data Scientist
Twitter
Who we are
Twitter serves the public conversation. Events break on Twitter, from massive and world-changing to the local tech conference. Users exchange and shape their thoughts by forming communities with shared interests.
The Consumer Data Science organization works closely with our cross-functional partners, and Twitter’s leadership to understand user behavior, inform product decisions, safeguard the health and integrity of our services, and to influence company strategy. We are currently hiring for the following subteams on Consumer Data Science. These high-impact teams value creativity, critical thinking, and teamwork.
The Consumer Data Science organization is hiring Senior Data Scientists in the following areas:
Health (SF, Boulder) - The goal of this team is to improve the health of the public conversation, ensuring that users feel safe while using our platform. As part of our team, you'll help the Health Organization make strategic decisions that ensure that Twitter is a safe and informative experience for our customers. You will do this by performing and mentoring others through analyses, metrics, experimentation, research, and more.
Growth (SF) - Their mission is to increase Twitter’s daily utility for new and returning users through impactful and creative applications of experimentation and data analysis. As a key member of Growth Data Science, your work will directly influence exciting new product areas and help grow Twitter usage around the globe.
Metrics (SF) - This team works to support company strategy by helping to define, maintain, and understand key success metrics to ensure that we continue to meet the demands of our customers.
Video (NY) - This team works with the Live Video, Video on Demand, Publishers, and Camera products. The team is involved in opportunity sizing, experiment setup and analysis, and metric design in order to influence video and media strategy at Twitter.
Curation & Content (NY) - This team works closely with Twitter’s Cur
Link:
https://careers.twitter.com/en/work-for-twitter/201904/senior-data-scientist-consumer-product.html
Principal Data scientist
Intuit
Overview
Intuit is hiring a Principal Data Scientist to join our customer success team. We are looking for some exceptional talent to help improve the bottom line of our Customer-facing technology. We expect our Principal Data Scientist to be able to draw insights from data and apply them to all our products (TurboTax, QuickBooks, Mint, etc.), to lead engineers and data scientists to deliver new business value and personalized customer experience for our products Responsibilities
Oversee the design, development, deployment and management of batch and real-time fraud and credit risk models for both onboarding and monitoring purposes.
Work closely with key business stakeholders.
Communicate key analytic findings within the business and to senior stakeholders.
Research, explore, and enable new quantitative techniques and technologies in data science.
Drive thought leadership and embrace emerging industry innovation.
Mentor more junior team members.
Qualifications
7+ years data science experience,
MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or
equivalent
Hands-on expertise with data mining and statistical modeling techniques such as clustering,
classification, regression, tree based methods, neural nets, support vector machines, anomaly
detection, and natural language processing.
Expertise with NLP, Deep learning is a great plus.
Expertise in modern advanced analytical tools and programming languages such as Python, Scala,
Java and/or R.
Efficient in SQL, Hive, SparkSQL, etc.
Comfortable working in a Linux environment
Experience with building end-to-end reusable pipelines from data acquisition to model output
delivery
Quick learner, adaptable, with the ability to work independently in a fast-paced environment
Strong oral and written communication skills. Ability to conduct meetings, professional
presentations, and to explain complex concepts to non technical audience
Link:
None
Data Science Manager
Intuit
Intuit is seeking a Data Science Leader to join the Intuit AI Engineering team in Mountain View, CA.
Responsibilities
Lead and create a team of data scientists
Mentor and hire the best data scientists in the valley
Applies artificial intelligence and machine learning techniques to solve complex questions or fuel
new business opportunities
Delivers breakthrough benefits to Intuit users/customers across small business & consumer
products using individual, enriched, and aggregated data
Provides leadership in advanced engineering, data science and analytics in the development of
current or future products or technologies
Provides technical leadership across multiple teams, by understanding a key technology space
deeply enough to help guide strategy
Provide/inspire data science innovations that fuel the growth of Intuit as a whole
Understands and teaches proven methods and hacking skills in working with divergent data types
at scale, to explore and extrapolate data-driven insights using advanced, predictive statistical
modeling and testing applied to data acquired and cleansed from a range of sources
Provides to business stakeholders the entrepreneurial guidance essential for appropriately
interpreting and building on findings, and fully exploiting the insights revealed through the research
Qualifications
BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Physics, etc.)
3 plus years’ experience as an established technology leader solving long term strategic outcomes.
Expert command of AI and machine learning, statistical modeling, state-of-the-art tools, and
engineering best practices
Experience in leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection etc.
Link:
None
Data Scientist
American Airlines
Want to apply data science skills to solve real world airline problems? Feel free to reach out to Venkata.pilla@aa.com.
Please apply thru the link below if you are interested.
Link:
https://jobs.aa.com/job/Ft-Worth-ConsultantSenior-Consultant%2C-IT-Operations-Research-and-Advanced-Analytics-Data-Science-TX-76101/580688000/?locale=en_US
Experimentation Data Scientist, Business Analytics
Intuit
*Overview
Seeking a Principal Experimentation Data Scientist to join Intuit’s Experimentation Center of Excellence (COE) for Small Business Self-Employed Group (SBSEG). We are looking for a creative problem solver with a passion for delivering data-driven insights, a deep knowledge of Testing and Experimentation to optimize SBSEG’s digital experiences.
In this role you will drive experimentation process improvement and automation to dramatically transform the way in which we allocate customers to experiments and manage delivery of experiments that drive decision making
*Responsibilities
•Work closely with the Embedded Data Scientists/Analysts to set up, maintain and optimize performance analysis of our various in-market experiments
•Provide test requesters with testing methodology and frameworks to create and monitor tests over time
•Work with experimentation tools team to improve & enhance tool capabilities
•Develop traffic forecasts and size opportunities based on constraints and interpretation of data
findings
•Define, implement and standardize metrics, reports and dashboards leveraging Tableau or other
data visualization tools
•Deliver key metrics, reports, dashboards and ad-hoc analyses with interpretation, contributing to
the development of hypotheses and actions
•Work with Marketing and Product Managers to develop learning plans with recommendations of analytics approaches to address questions or validate hypotheses
•Generate follow-up questions with stakeholders, refine data findings and interpret results to drive data-based insights
•Collaborate with internal and external partners to assist with data collection and reporting
*Qualifications
•10+ years of experience in decision support and site optimization for an online/ecommerce
•Deep knowledge of testing and web analytics
•Confident applying appropriate analysis methods of causal inference in both experimental and non-experimental situations
•Subject matter expertise with clickstream data, SQL & Hive
Multiple Positions as Empire Innovation Postdoctoral Fellows in the AI Institute at Stony Brook University
Stony Brook University
Areas:
Data science, NLP, Computer Vision, Biomedical Informatics, Computational Neuroscience, Knowledge Extraction, Formal Reasoning and advanced modeling techniques .
Start date is flexible, but can as early as Jan. 2020.
Link:
https://ai.stonybrook.edu
Senior Data Scientist
Netflix
At Netflix, we are revolutionizing storytelling by connecting our members around the world to an amazingly diverse set of international stories. Effective translation and cultural adaptation of our content and user interface play a critical role in building these connections. We are looking for a talented data scientist to partner with a world-class team of localization experts in order to unleash the power of data to transcend language barriers, and bring joy to over 130 million members across 190 countries.
What you will do:
Work closely with product managers and engineers to identify impactful problems, and develop solutions to these problems via machine learning and data science.
Leverage different types of data (e.g., subtitle data, and viewing patterns) to develop innovative models that empower effective and efficient localization.
Join a stunning team of data experts with diverse skill set, and contribute to Netflix Research.
Your background and characteristics:
Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods.
Experience in using deep learning for text data is a plus.
PhD or MS degree in a quantitative or computational field and 2+ years relevant experience.
Expertise in SQL and programming in Python or R.
Comfort with ambiguity; ability to own and drive projects with minimal oversight and process.
Exceptional communication with technical and non-technical audiences: written, verbal and presentation.
Enthusiasm about Netflix culture.
Link:
https://jobs.netflix.com/jobs/870017
Senior Data Scientist, Business Analytics
Intuit
*Overview
We are looking for a great data scientist for our Quickbooks Online(QBO)business. Quickbooks is used by over 5MM SMBs globally to run their businesses and we are the team responsible for using our data to answer the most critical questions facing the QBO Product Managers and Marketers. Everything from understanding the trends in our subscriber growth to shaping our product strategy through A/B testing and more happens within our team and we need top data scientists to help the business deliver the best possible product to our SMB customers. We are growing rapidly and need great people to support our analytical efforts in both Product and Marketing.
*Responsibilities
•Solve marketing and product analytics problems by doing work such as developing data structures, pipelines, and data visualizations that enable us to find insights and take action by working with click data, product-generated data, user provided data, third party data, and more
•Perform analyses that inform decisions on everything from retention strategy to product experience using predictive and descriptive analytical techniques
•Apply predictive modeling and ML techniques to problems such as predicting conversion and retention as well as customizing communications with customers
•Communicate findings from analyses in a way that enables business leaders to make better decisions
•Design and execute product and marketing experiments through A/B testing
*Qualifications
•5+ years of experience in generating and sharing insights from product/marketing data
•Technical experience including SQL, some form of coding (Python, Scala, etc), and ETL/scheduling such tools as Airflow
•Experience with data visualization tools such as Tableau, Superset, etc.
•Experience working with SaaS-based subscription metrics including conversion, retention and product usage is preferred
•Entrepreneurial spirit and passionate about data
•Undergrad Degree in Quantitative Field (Masters preferred)
Link:
None
Senior Analytics Engineer
Netflix
Data Analysis, Dashboards (Tableau), SQL expertise. Programming skills in Python or similar languages desirable.
Link:
None
Staff Business Data Analyst
Intuit
Join the Intuit Identity Platform team as a Staff Business Data Analyst. We have an exciting opportunity on the team that provides highly available, scalable, and secure Identity services across all of Intuit’s products, including TurboTax, Quickbooks, Mint, etc. We are looking for a data-driven leader with excellent analytical skills and web analytics experience.
Responsibilities
- Partner with product managers and engineering to drive strategic priorities and decisions based on data
- Collaborate with engineering to design data pipelines, deliver valid experiments, and deploy self- service reporting to run the business
- Defines report requirements with internal customers and creates dashboards by pulling data from different sources to meet business objectives and present to leadership team
- Typically requires proficiency in web analytics applications, strong database skills and technical understanding of website architecture
- Ensure site tagging is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
- Pursue data quality, troubleshoot data validation, and see issues to resolution
- Champion data-driven decision making, including coaching and mentoring others on best
practices
Qualifications
- 7+ years of experience in web analytics decision support and website optimization for online/ecommerce businesses
- Experience with SQL, Hive, R, Tableau, and Omniture Site Catalyst
- Ability to tell stories with data, educates effectively, and instills confidence in recommendations,
motivating others to act on them
- Strong analytical and problem solving skills: able to develop and use structured approaches to
identify root causes and recommend resolutions: can present results in meaningful terms
- Project Management skills and ability to manage multiple projects simultaneously to meet objectives and key deadlines
Applied Scientist Amazon Music
Amazon
As an Applied Scientist, you will transform the way people enjoy music through personalized recommendations, search results or songs sequencing. You will collaborate with scientists and engineers to design and evaluate new machine learning models using audio features, meta-data, search queries or customer's listening behavior to create a personalized customer experience.
Amazon Music is looking for an Applied Scientist in Berlin with strong software development skills as we build a team of talented and passionated applied scientists to personalized the customer experience of Amazon Music. Our mission is to push the envelope in music recommendation and personalization. As an Applied Scientist, you will participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning. You will work with software developers and other teams to design and implement statistical models for recommending the right music at the right time considering context and behavior of a customer. Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up.
Data Scientist Amazon Music
Amazon
Excited by Big Data and Data Mining? Interested in using Terabytes of Data to generate insights? At Amazon Music, we are developing state-of-the-art large-scale applications on the Cloud involving Terabytes of data. We are looking for talented and experienced data scientists to mine our data and turn it into unique and powerful insights for advertising optimization and measurement. In this role you will work with machine learning scientists, engineers, and product managers on high impact initiatives.
Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up.
Welcome to Amazon Music, where ideas are born, and come to life as Amazon Music Unlimited, Prime Music, and the digital music store. Amazon Music offerings are available in multiple countries, and our applications support our mission of delivering music to customers in a way that enhances their day-to-day lives. We can be found on platforms such as the Amazon Echo, Kindle Fire, iOS, and Android as well as on a mixture of home and auto streaming platforms
Science Intern Amazon Music
Amazon
You want to transform the way people enjoy music through personalized recommendations, search results or songs sequencing. As a science intern, you will collaborate with scientists and engineers to design and evaluate new machine learning models using audio features, meta-data, search queries or customer's listening behavior to create a personalized customer experience.
Link:
None
Principal Machine Learning Engineer, AI Engineering
Intuit
Overview
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills
includedatawrangling,featureengineering,developingmodels,andtestingmetrics. Youcanexpectto... Responsibilities
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Qualifications
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy,
Pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Understand machine learning principles (training, validation, etc.)
Knowledge of data query and data processing tools (i.e. SQL)
Computer science fundamentals: data structures, algorithms, performance complexity, and
implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows,
and ability to write production-ready code.
Mathematics fundamentals: linear algebra, calculus, probability
Preferred Additional Qualifications:
Interest in reading academic papers
Link:
None
Staff Machine Learning Engineer
Intuit
Overview
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics.
Responsibilities
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Qualifications
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy,
Pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Understand machine learning principles (training, validation, etc.)
Knowledge of data query and data processing tools (i.e. SQL)
Computer science fundamentals: data structures, algorithms, performance complexity, and
implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows,
and ability to write production-ready code.
Mathematics fundamentals: linear algebra, calculus, probability
Link:
None
Senior Data Scientist, Product - Resume Search
Indeed
To learn more about this role - Indeed is located at Booth 38 Tuesday - Thursday of KDD
Our mission.
As the world’s number 1 job site, our mission is to help people get jobs. We need talented, passionate people working together to make this happen. We are looking to grow our teams with people who share our energy and enthusiasm for creating the best experience for job seekers.
Your job.
One of our core principles is a dedication to data-driven decision-making. To do that well, we need product scientists with a strong product sensibility to work alongside our product managers and technical leads.
Our Product Science team is a part of the Indeed Data Science group. While machine learning is one tool in our toolbox, Product Scientists use a variety of skills with the goal of driving business impact using whatever tools necessary.
About you.
* BS in Computer Science, Statistics, Mathematics or a closely related quantitative field.
* 7 years of professional industry experience in Data Science, Business Analytics, or Data Analysis
* Experience coding in Python, R or another advanced data programming language
* Strong communication and collaboration skills
* Ability to write and present results to both technical and non-technical audiences
* Driven to help their teammates and Indeed’s products
* Experience designing and conducting complex projects
Indeed provides a variety of benefits that help us focus on our mission of helping people get jobs.
View our bounty of perks: http://indeedhi.re/IndeedBenefits
View Indeed's Applicant Privacy Terms: https://www.indeed.com/legal/applicant-privacy
Associate Director Machine Learning
Otsuka Pharmaceuticals
Otsuka is looking for candidates with expertise in machine learning, artificial intelligence, statistical data analytics, and applications. The prospective candidate must have an excellent knowledge of advanced methods, and experience in applying those methods to a variety of applications. The successful candidate will be energetic, open to grow in new directions, work with a team of scientists and practitioners from different functional areas to solve problems in pharmaceuticals.
Establish and implement end to end proof of concept for data analyses across functional areas
Create innovative methodologies for data
Build proof of concept systems
Establish strategic partnerships with technical leadership across functional areas
Presenting to senior leadership as well external audience
Demonstrates the ability to create new and different solutions that align to real work problems and opportunities
Proficiency in computer programming with excellent software development skills using state-of-the-art technologies and languages (C++, Java, R, Python, and other scripting languages)
Qualifications
Required:
Master’s Degree required and PhD strongly preferred in Computer Science, Statistics, or a related field with focus on data analysis
3-5 years hands on experience in machine learning
Command of principles of machine learning, statistical analysis, data mining algorithms, and mathematical modeling
Demonstrated ability to use knowledge of recent techniques, and develop new methodologies
Demonstrated experience in applying Machine Learning to at least one of the areas: Computer Vision, Natural Language Analysis or text analysis, large data sets, and social network analysis
Excellent software development skills, esp. in rapid prototyping
Established publication record
Excellent communication skills
Experience in machine learning on large size data using MapReduce and Hadoop preferred
Experience in health care data analytics
Link:
https://external-otsuka.icims.com/jobs/10238/assoc-dir-machine-learning/job?ss=1&mode=job&iisn=Glassdoor&iis=Glassdoor&mobile=true&width=414&height=896&bga=true&needsRedirect=false&jan1offset=-540&jun1offset=-480
Data Scientist- AI for Good
Microsoft
AI for Humanitarian Action, AI for Earth, AI for accessibility, Digital Crimes. These are some of the programs at Microsoft where you can apply your world-class expertise to have a huge impact on global and local challenges. Come to work every day and contribute to projects that help save lives, alleviate suffering and restore human dignity. Use the power of technology and AI to promote human rights, increase accessibility for those with disabilities, and seek solutions to climate change. These are ambitious aims. But with access to our technology, resources, global scale and genuine commitment to using the power of AI and technology for good, they are achievable. We call this AI for Good, and we will empower our partners across the globe with our research, platforms and technology. Researchers and Data Scientists have a fantastic opportunity to join a newly created AI for Good Research Lab that is led by Microsoft’s Chief Data and Analytics Officer. You get to work at the cutting edge of data science, with some of the brightest minds in the field, whilst knowing that you are generating solutions to some of the most demanding and defining challenges of our time. These newly created roles will report to the Senior Director of Data Science, and work closely with teams across Microsoft to deliver world class solutions to some of the world’s most pressing and challenging problems.
Please contact Avleen at kdd (avbijral@microsoft.com) if interested.
Applied Scientist
Amazon —AWS AI
AWS Ground Truth service is looking for an experienced machine learning scientist to contribute at the forefront of cutting edge machine learning.
If you are passionate about solving hard computer vision problems we would like to talk to you.
Every day will bring new and exciting challenges on the job while you:
· Learn and use advanced technologies
· Collaborate with internal engineering teams, leading technology companies around the world and open source community
· Evangelize deep learning technologies and services
· Create innovative products, and see them launched in high volume production
As member of the software application development team in AWS AI, you will be working with cross-functional teams, customers and open source community to build deep learning applications, develop tutorials, presentation and blogs to evangelize and teach the use of deep learning, contribute to the deep learning framework development and develop new AI application and services.
This position within the AWS AI team presents a unique and rare opportunity to get in on the ground floor within a fast growing business and help shape the technology, product and the business. A successful candidate will bring deep technical expertise in machine learning or high performance computing, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.
BASIC QUALIFICATIONS
· MS in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
· Depth and breadth in state-of-the-art computer vision and machine learning technologies
· 8+ years of hands-on experience in predictive modeling and analysis
· Strong algorithm development experience
· Proficient in one software language (e.g., C++, Java, Python)
PREFERRED QUALIFICATIONS
· PhD in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative fiel
Link:
Https://www.amazon.jobs/en/jobs/786419/applied-scientist-II
Manager, Machine Learning/Data Science
Otsuka Pharmaceuticals
Otsuka is looking for a technically strong data scientists with expertise in machine learning, statistical data analytics, and applications. The prospective candidate must have an excellent knowledge of advanced methods, and experience in applying those methods to novel applications. The successful candidate will be enthusiastic open to grow in new directions in a pharmaceuticals setting covering a variety of functional areas, work with a team of scientists and practitioners from different functional areas to solve practical problems. Fresh graduates with advanced degrees are welcome to apply.
Job Responsibilities
Establish and implement end to end proof of concept for data analyses across functional areas
Build proof of concept systems in collaboration with data engineers and scientists.
Develop new data driven and digital models to transform business operations
Presenting to senior leadership as well external audience
Demonstrates the ability to create new and different solutions that align to real work problems and opportunities
Proficiency in computer programming with excellent software development skills using state-of-the-art technologies and languages (C++, Java, R, Python, and other scripting languages)
Lead data science projects end-to-end from conception to Proof-Of-Concept to deployment
Establish strong collaborations with business units to understand data and advanced analytics needs across business functions and translate them to data science and engineering initiatives
Qualifications
1 - 3 years hands on experience in advanced machine learning or data sciences
Master’s Degree required and PhD strongly preferred in Computer Science, Engineering, Physics, Statistics, or a related field with focus on data analysis. Candidates with recent degrees are welcome to apply.
Command of principles of machine learning, statistical analysis, data mining algorithms, and mathematical modeling
Demonstrated ability to use knowledge of recent techniques
Link:
https://external-otsuka.icims.com/jobs/10732/mgr-data-sciences-machine-learning/job
Applied Scientist —AWS AI
Amazon —AWS AI
Amazon AI is looking for world class scientists to join its AI Lab. This group is entrusted with developing core machine learning algorithms for AWS. As a part of the AI Lab you will invent, implement, and deploy state of the art machine learning algorithms and systems. You are expected be an expert in an area relevant for large scale machine learning and its applications. Our particular focuses include temporal models particularly for forecasting, recommendation systems and reinforcement learning. Experience with deploying ML in practice is a plus.
Basic qualifications
MS or PhD degree in computer science, operations research, statistics, engineering, or mathematics
5+ years of experience in the field with a proven track record
Experience with fast prototyping
Experience with object oriented languages and efficient low level coding
Experience with data mining or machine learning applications
Experience working effectively with software engineering teams
Excellent written and verbal communication skills
Preferred qualifications:
· Be an active member of a software development team.
Improve and accelerate our technology with science, statistical modeling, algorithm design, and prototyping.
Maintain an understanding of industry and technology trends in said area of research.
Contribute to Amazon's Intellectual Property through patents and/or external publications.
Understand business context to decisions made within and across groups.
Effectively communicate with senior management, colleagues, the open source community, and academia.
Recognize and help hire top talent in your field.
Mentor others in achieving their career growth potential.
Drive an independent research agenda that is well-aligned with business needs.
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
Link:
https://www.amazon.jobs/en/jobs/861696/applied-scientist
Applied Scientist - Full time and interns
Amazon
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Do you want to build advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for our India Consumer Businesses.
Please send your resume to jingyua@amazon.com if interested.
Major responsibilities
- Use machine learning and analytical techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
- Design, development and evaluation of highly innovative models for predictive learning
- Work closely with software engineering teams to drive real-time model implementations and new feature creations
- Work closely with operations staff to optimize various business operations,
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Track general business activity and provide clear, compelling management reporting on a regular basis
- Research and implement novel machine learning and statistical approaches
Basic Qualifications
- A PhD in CS machine learning, Operational research, Statistics or in a highly quantitative field
- 2+ years of hands-on experience in predictive modeling and analysis
Senior Data Scientist
Twitter
Who we are
Twitter serves the public conversation. Events break on Twitter, from massive and world-changing to the local tech conference. Users exchange and shape their thoughts by forming communities with shared interests.
The Consumer Data Science organization works closely with our cross-functional partners, and Twitter’s leadership to understand user behavior, inform product decisions, safeguard the health and integrity of our services, and to influence company strategy. We are currently hiring for the following subteams on Consumer Data Science. These high-impact teams value creativity, critical thinking, and teamwork.
The Consumer Data Science organization is hiring Senior Data Scientists in the following areas:
Growth (SF, Boulder, NYC) - Their mission is to increase Twitter’s daily utility for new and returning users through impactful and creative applications of experimentation and data analysis. As a key member of Growth Data Science, your work will directly influence exciting new product areas and help grow Twitter usage around the globe.
Video (NY) - This team works with the Live Video, Video on Demand, Publishers, and Camera products. The team is involved in opportunity sizing, experiment setup and analysis, and metric design in order to influence video and media strategy at Twitter.
Link:
https://careers.twitter.com/en/work-for-twitter/201904/senior-data-scientist-consumer-product.html
Senior Data Scientist
Unity Technologies
https://careers.unity.com/position/senior-data-scientist/1661787
Link:
https://careers.unity.com/position/senior-data-scientist/1661787
Senior Data Scientist, Game Economy Optimization
Unity Technologies
https://careers.unity.com/position/-senior-data-scientist-games-economy/1185960
Link:
https://careers.unity.com/position/-senior-data-scientist-games-economy/1185960
Software Development Engineer (All levels from recent grad to Sr. Principal)
Capital Group
Capital Group is an asset manager with $2T AUM headquartered in Los Angeles, CA. We have offices all around the world https://www.capitalgroup.com/our-company/office-locations.html
We are looking for SDEs to be part of a new engineering org (Investment Group Technologies) led by Jason MacRae https://www.linkedin.com/in/jason-macrae-09632810/, CG’s new Chief Data Officer. This new team will apply data engineering and data science to long-term fundamental investing at >$1 trillion scale. If you are looking to join a team that is building something big, reach out to: kevin.davenport@capgroup.com. We have roles across data engineering, machine learning, software engineering, and product management. If you love the idea of solving hard problems, working in a nurturing environment, and helping millions of families all over the world realize their financial dreams, you belong at Capital Group!
A few relevant areas of interest: Constrained optimization, NLP, time series, reinforcement learning, contextual bandits, Python, Koa, Vue, Dart, Flutter, AWS, Elasticsearch, Lucene.
Link:
Capgroup.com
Applied Scientist (All levels - recent grad to Sr. Principal)
Capital Group
Capital Group is an asset manager with $2T AUM headquartered in Los Angeles, CA. We have offices all around the world https://www.capitalgroup.com/our-company/office-locations.html
We are looking for SDEs to be part of a new engineering org (Investment Group Technologies) led by Jason MacRae https://www.linkedin.com/in/jason-macrae-09632810/, CG’s new Chief Data Officer. This new team will apply data engineering and data science to long-term fundamental investing at >$1 trillion scale. If you are looking to join a team that is building something big, reach out to: kevin.davenport@capgroup.com. We have roles across data engineering, machine learning, software engineering, and product management. If you love the idea of solving hard problems, working in a nurturing environment, and helping millions of families all over the world realize their financial dreams, you belong at Capital Group!
A few relevant areas of interest: Constrained optimization, NLP, time series, reinforcement learning, contextual bandits, Python, Koa, Vue, Dart, Flutter, AWS, Elasticsearch, Lucene.
Link:
Capgroup.com
Fully funded PhD Position in graph databases and analytics
University of Bonn
A fully funded PhD position is available in graph databases, query processing, and graph analytics methods for knowledge graphs and information networks. If you are interested in the position, you can talk directly to Davide Mottin or drop an email to davide@cs.au.dk
Link:
http://data.bit.uni-bonn.de/static/job-offers/graph-database-query-analytics-position.pdf
Machine Learning Lead - Recommender System
Criteo
At Criteo, we connect 1.5 billion active shoppers with the things they need and love. Our technology takes an algorithmic approach to predict what user we show an ad to, when, and for what products. Our dataset is about 50 petabytes in Hadoop (more than 120 TB extra per day) and we take less than 10ms to respond to an ad request. This is truly big data and machine learning without the buzzwords. If scale and complexity excite you, join us.
What is it like to work in our R&D ?
Most of all, we are creators. From designing ground-breaking products to finding unique ways to solve technical challenges at an exceptional scale, our tech teams work with state of the art methodologies to shape the future of advertising.
The Criteo AI Lab brings together researchers, machine learning engineers, and data scientists. Our mission is to develop advertising solutions that provide value to Internet users around the world. We do so by pushing state-of-the-art ML methodologies into our products to drive better performance, and act as center of Machine Learning research and engineering excellence.
What you will do
As the Lead of a small engineering team, your main role will be to design and build robust recommender systems using Spark and Hadoop in a fast-paced environment, while collaborating with other teams and influence the roadmap by working closely with program managers.
You will gather and analyze data, identify key prediction/classification problems, devise solutions, build prototypes, and stay current on published state-of-the-art algorithms
You will develop high-performance algorithms for precision targeting, test and implement the algorithms in scalable, product-ready code.
You will also in charge of investigating new academic and industrial data mining, machine learning and modeling techniques to apply to our specific business cases
Data Scientist - Algorithms, Lux
Airbnb
Airbnb has become a global platform that connects travelers and hosts from over 81,000 cities. The Lux Team is focused on offering transformative end-to-end trips through elevated homes, personalization & world class service. We're re-imagining the luxury space, and deciding how Luxury Retreats and Airbnb can join forces to create the best luxury travel experience possible.
As a data scientist in algorithms, you will have the opportunity to leverage Airbnb’s rich data and state-of-art machine learning infrastructure to develop data products that are used by millions of users and propel the growth of our business. You will collaborate with a strong team of engineers, product managers and fellow data scientists in defining the frontier of data products in matching marketplaces. Data scientists will work on how to evaluate potential approaches, build features, algorithms, and determine metrics which are critical for machine learning models.
We have multiple openings available. Sample projects include:
Improve search ranking models
Develop smart pricing models
Build models to optimize agent routing
Extract/summarize interested information from unstructured dataset
Here are some qualifications we look for:
4+ years experience developing machine learning models at scale from inception to business impact. Leadership opportunities also available.
Advanced degree in quantitative field.
Deep understanding of modern machine learning techniques and their mathematical underpinning, such as classification, recommendation systems and natural language processing.
Proven ability to tailor machine learning solutions to business problems in a cross functional team.
Experience with distributed machine learning and computing framework (Spark, Mahout or equivalent). Applied experience preferred.
Strong programming skill (Python, R, or Scala)
Link:
https://careers.airbnb.com/positions/1718479/
Software Engineer
Megagon Labs, Inc
Megagon Labs is looking for software engineers who can work in the research environment and, with Research Scientists, develop solutions for the real world, working with algorithms, large-scale data processing and research problems on a daily basis. Our software engineers design and implement software applications and systems and deploy them in practice and work with users and internal product teams to iterate the design and implementation.
Minimum Qualifications
• BS or MS/PhD in Computer Science, related technical field or equivalent practical experience.
• Strong development experience.
Link:
www.megagon.ai
Research Scientist
Megagon Labs
Megagon Labs (www.megagon.ai) is looking for research scientists to participate in and conduct cutting edge research in NLP, Data Management and Integration, Data Mining, Machine Learning, and Human-Computer Interaction. We are looking for research scientists who can design and develop scalable algorithms and prototypes for real-world business problems.
We publish our work in top conferences (i.e., ACL, NAACL, EMNLP, SIGMOD, VLDB, KDD, WWW, AAAI, IJCAI, CHI, etc.) and conduct research collaborations with universities.
Minimum Qualifications:
• PhD (or MS working towards a PhD) in Computer Science, related technical field or equivalent practical experience with an outstanding publication and service track record commensurate with experience.
• Strong programming experience in one or more of the following: C, C++, Python, Java.
Link:
megagon.ai
Machine Learning Engineer @ Twitter Ads
Twitter
Who we are
In Twitter, we serve billions of ad impressions and generate millions of dollars in revenue per day. For every ad shown on Twitter, our prediction system (the largest ML service at Twitter) evaluates thousands of ad candidates behind the scene to find the best one. When executed successfully, we create aha! moments for our users & advertisers and add huge value to the Twitter business & revenue.
Our mission is to build state of art machine learning infrastructure and make make Twitter ads as relevant in the moment as organic content on Twitter.
Who you are
You’re a back-end ML software engineer who wants to work on exciting algorithmic and deep infrastructure issues in ML environments.
Responsibilities
Work with large unstructured and structured data sets (multi-terabyte+, 100MM+ daily transaction volumes)
Design and evaluate novel approaches for handling high-volume real-time data streams in a machine learning environment
Code using primarily Java and Scala; Map-Reduce frameworks such as Pig and Scalding; and scripting languages such as Python
Learn new machine learning, data mining, and/or natural language processing techniques for a variety of modeling and relevance problems involving users, their tweets, their interests, twitter ads, relationship among entities
Conduct online A/B testing, interpret and understand algorithm performance
Qualifications
3+ years relevant experience and BS or MS or PhD in computer science
Fluent in one or more object oriented languages like Java, Scala, C#, C++
Experience with Hadoop, Pig or other MapReduce-based architectures
Knowledgeable of core CS concepts such as: common data structures and algorithms
Comfortable conducting code reviews
Experienced in operating Linux-based systems
Passionate about working with large unstructured and structured data sets
Senior Qualification
3+ years relevant experience and MS or PhD in computer science
Fluent in one or more object oriented languages like Java, Scala,
Link:
https://careers.twitter.com/en/work-for-twitter/201907/machine-learning-applied-engineer-revenue-science0.html
Multiple Graph Roles! 🤯
Neo4j
We are 100% dedicated to graph tools and solutions; working with enterprise customers. We are growing our fantastic team and need:
Data Scientists, Sales, Engineering, Product, Marketing, Support, and more.
Visit our booth.
Link:
https://neo4j.com/careers/
Data Scientist (all levels)
Retina AI
As a Data Scientist, you will be working closely with internal data science, product and our engineering team to build scalable data products. You will be creating algorithms that analyze customer data to compute Customer Lifetime Value using (but not limited to) Machine Learning, Reinforcement Learning and Optimization techniques. You must have an expertise in end-to-end data analytics processes from ETL to executive level presentations.
Link:
https://retina.ai/positions/data-scientist/
Research Scientist @ Netflix - Search and Recommendations
Netflix
We’re looking for a talented and passionate machine learning expert to join our team of research scientists. In this role, you’ll lead the way by implementing and owning the next generation of machine learning algorithms to improve the product for our more than 148+ million members from around the world.
Some of the areas you'll work in:
• Recommender Systems and Personalization. Almost every aspect of the Netflix experience is personalized, and much of that personalization is driven by our various flavors of recommendation algorithms.
• Search Ranking and Query Understanding. You’ll work on the algorithms that allow our members to interactively query and explore our catalog. Using the latest in NLP techniques, you’ll solve problems including: query understanding, knowledge graph discovery, and learning to rank across our global catalog of titles.
• Large Scale Machine Learning. Netflix is available in over 190 countries, with over 148+ million members. This gives us a unique dataset to work with, but also unique challenges in how we scale our models.
If you’re passionate about applying cutting edge machine learning in a product that is used by hundreds of millions of people around the world, then we’d love to talk to you!
PLEASE SEND ME (slamkhede@netflix.com) AN EMAIL WITH YOUR UPDATED RESUME.
Read about some of our work here.
Requirements:
4+ years of experience applying machine learning in industry
Strong background in machine learning with a broad understanding of unsupervised and supervised learning methods
Strong software development experience
Successful track record of delivering results in complex cross-functional projects
Strong mathematical skills with knowledge of statistical methods
Great communication skills
MS (PhD preferred) in Computer Science, Electrical Engineering, Statistics, or related areas.
Preferred, but not required:
Experience in recommendation systems, search, or NLP.
Open source contributions
Link:
https://jobs.netflix.com/jobs/869518
NLP Manager, Engineering
Tableau
Tableau is building the next generation of self-service data analytics by enabling people to gain more insights from their data through natural language interactions - "Ask Data" and see the answer. We are looking for a hands-on engineering leader with extraordinary technical skills, management experience and real passion for innovation to help us develop natural language experiences across Tableau products. As an Engineering Manager on the Natural Language Processing (NLP) team, you will be leading an amazing team of engineers to develop and extend natural language systems that enable our customers to ask real world questions to interact with their data. You will also be one of the key leaders who will drive the architecture and vision of our NLP technologies.
What you’ll be doing…
Be responsible for end to end delivery and timeline of features including design, development and testing
Coach, mentor and grow your team towards career goals and maintain a high team morale
Provide technical leadership including architecture and infrastructure optimizations required to meet product requirements
Drive development best practices to maintain productivity, deliver high software quality and customer value
Collaborate with Tableau thought leaders on the strategy and vision for augmented analytics investments including natural language query, natural language generation, semantics and machine learning
Data Scientist
Microsoft
Data scientist position available in Microsoft Defender ATP team. If you are interested in the intersection of data science and cybersecurity, please view the link.
ML Engineer(all levels welcome)
Microsoft
Do you enjoy delivering value in a dynamic environment, and looking to make a big impact ? Are you passionate about creating ML models that will affect millions of business users every day?
Come join the team that is building the Dynamics Customer Insights application and underlying technologies within the Business Applications Group (BAG), leveraging multiple ship vehicles, and a host of consumption surfaces, including Dynamics 365, Power BI, etc. The technology built by this team unlocks insights from large quantities of data, and then moves from insights into the most optimal actions for businesses of all shapes and sizes. This flow quite literally translates into money earned and/or saved for the customer (typically a business or enterprise), and so this product quickly pays for itself many times over. This team owns a charter which is amongst the most interesting and exciting across the industry, combining: A) big data scale; B) machine learning; and C) near real-time insights. This 3-pronged challenge is as tough and as cutting edge as it gets. Come, challenge yourself to work on large scale problems on a service that is taking the world by storm.
Applied Researchers at all levels
WeChat/Tencent
The Search Product Center at Tencent Wechat is Looking for ML, DL, applied researchers to solve challenging problems in recommendation and search system. We have both internship and full time positions.
Link:
None
Software Engineer
Amazon
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Do you want to build advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for our India Consumer Businesses.
If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.
Major responsibilities
- Software development to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
- Design, development and evaluation of highly innovative models for predictive learning
- Work closely with applied scientist to drive real-time model implementations and new feature creations
- Work closely with operations staff to optimize various business operations,
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Track general business activity and provide clear, compelling management reporting on a regular basis
- Research and implement novel machine learning and statistical approaches
BASIC QUALIFICATIONS
- Bachelor or master degree in CS or in a highly quantitative field
- 2+ years of hands-on experience in software development
- Strong data analytics techniques
- Comfortable using Java o
Link:
https://www.amazon.jobs/en/jobs/877175/sde
Data Engineering
VideoAmp
As a part of VideoAmp’s platform team you will be involved in the design, development, deployment, and testing processes for new products. Our platform provides disruptive insights and optimizes the efficacy of our client’s ad campaigns. You will be a core member of our engineering team and will have a major impact on new initiatives. We’re mindful of how the time and space complexities of the small parts greatly affect our services at scale and we need your help to build responsive systems. You will help build, test, benchmark, and tune our distributed systems to ensure that our product is scalable, responsive, robust, cost-effective, and correct.
You’ll need 5+ years of hands-on coding experience - Python or Scala preferred:
Experience working with Spark, Hadoop, or other big data processing platform in high-volume environments
A solid and demonstrable understanding of ETL workflows and data warehousing
Experience with ad-tech
Experience with high-performance, low-latency, distributed systems
SQL fluency and an understanding of relational data models
Experience optimizing queries and developing stored procedures
Building out Spark apps to support new product development
Building data models to support new functionality
Build data pipelines to analyze, scrub, and integrate first and third party data
Productionalizing data science models
Coordinating data models with other engineering teams
Tuning and optimizing Spark apps to get the most out of the quickly evolving platform
And there’s a ton of perks that come with working at VideoAmp including:
Competitive compensation
Comprehensive health benefits
Meaningful equity
401k
Unlimited vacation with a stipend for travel and accommodations of $2,000/year
Unlimited in-office gym use with personal trainer
Childcare stipend
Plenty of snacks and beverages
Personal and professional development
Link:
https://www.videoamp.com/job?gh_jid=4285533002
Research Engineer
DeepMind
Rsearch Engineer - DeepMind for Google
Location: Mountain View
Please send your CV to my email address (michellegong@google.com) if you are interested.
About:
DeepMind for Google (DMG) collaborates closely with a wide variety of teams across Google / Alphabet to deploy advanced machine learning algorithms to improve Alphabet products and services. We are a highly motivated team. We collaborate closely with Research and Machine Intelligence teams inside Google on several projects.
The Role:
You’ll work in one of our machine learning project teams. Each project differs in its specifics, but they tend to involve significant experimentation in close collaboration with our partner teams. Common phases include understanding our partner’s objectives, constraints, key metrics, and systems; gathering, transforming, and analysing data; proposing, building, and debugging practical machine learning models and algorithms; integrating our pipelines, models and predictions into production systems; running and analyzing experiments and iterating based on outcomes.
Qualifications:
We highly value strong ML research engineers who are willing to help out with whatever moves our projects forward. You should have strong interpersonal skills and be a team player. You should be flexible in adapting to changing requirements and able to cope with and reduce ambiguity. An ability to quickly understand, augment, test, and debug unfamiliar systems is valuable. A demonstrated interest and experience in ML is required. You should be fluent in C++ and Python.
Minimum Qualifications:
BS degree in computer science, electrical engineering, machine learning or equivalent (MS / PhD preferable)
Strong knowledge and experience of Python
Knowledge of machine learning and/or statistics
Strong knowledge of algorithm design
Working knowledge of C++
Working knowledge of Tensorflow or similar frameworks
Experience with multi-threaded design and parallel/distributed computing
Data Scientist/Machine Learning Engineer (All levels)
Rue Gilt Groupe
Rue Gilt Groupe is at a key inflection point. Having built a profitable retail business through establishing brands that inspires confidence in millions of users, Rue Gilt Groupe is now investing substantial resources to leverage technology to put their data to good use. This is a rare opportunity to have massive impact on 30M loyal members.
Responsibilities :
* Solve business problems using advanced statistical techniques.
* Lead the identification and creation of predictive analytics opportunities to solve business problems and drive value.
* Proactively identify and develop expertise in new technologies, methodologies, and techniques.
* Design and manage experiments and pilots to test hypotheses.
* Lead cross-function projects from ideation/conception through execution and completion
* Partner and coordinate with Product, Marketing & Engineering to operationalize analytical models
Qualifications :
* Required education and experience:
* PhD in applied mathematics, computer science, operations research, systems engineering, decision sciences, statistics or other quantitative disciplines
* Or Master in quantitative disciplines plus 3+ year experience in predictive modeling and advanced analytics
* Or Bachelor in quantitative disciplines plus 5+ year experience in predictive modeling and advanced analytics
* Experience working with collaborative filtering, clustering, classification, regression, information retrieval, and/or statistical modeling.
* Knowledge of Hadoop, Hive, Redshift, Spark or similar big data tools and technology
* Experience working with SQL, Java or Python.
* Fluency working with machine learning tools such as R, Python.
* Must have exceptional analytical, problem solving, decision making, communication, and organizational skills
About Rue Gilt Groupe:
Rue Gilt Groupe combines world-class merchandising, technology and marketing to create the most engaging and satisfying online shopping experience available.
Link:
https://www.ruelala.com/
**Applied Research Scientist** Let’s meet and talk about the role!
Domo
**I am happy to meet informally to talk about the role.**
See a description below and apply @ our jobs page.
What is Domo?
Domo brings together all your people, data, and systems into one cloud-based software as a service system to accelerate the productivity of your organization. Domo is a platform that enables every user, whether they are a(n) executive, front line employee, or data scientist, to be more productive in leveraging their data to answer key questions and improve decision making.
Why Domo?
Domo is the data platform for everyone. That means that at Domo you will have the opportunity to explore and/or specialize in the data and problems from almost any industry or organization. Whether you are interested in developing sophisticated machine learning models to improve our users productivity with out product, designing experiments to uncover causal factors of business processes or software changes, or even working on analysis for a sales process that could benefit our business or be sold as a solution to our customers, you are only limited by your curiosity and drive to solve interesting problems.
Problems that make you excited to come to work
At Domo you will have the opportunity to collaborate with internal and external teams to see your ideas have real world impact in the 4 focus areas of our team. 1) Automation 2)Experimentation 3)Decision Science 4)Research
See more on our job posting https://www.domo.com/company/careers/job/1718906
Link:
https://www.domo.com/company/careers/job/1718906
Scientists / ML engineers -- Amazon Ads
Amazon
Amazon Ads marketplace is a complex ecosystem that includes buyers, sellers, and advertisers. The problems in this space span a wide variety of disciplines that include but are not limited to AI/Machine learning, NLP, Data Science, Auction theory, Econometrics, and Causal Inferencing. Amazon Advertising in Palo Alto is looking for applied scientists and engineers who are passionate about using state-of-the-art technologies to design algorithms and systems that are at the heart of an efficient, multi-sided marketplace.
If you are passionate about ML, want to work on cutting-edge technologies that use ML to drive design of marketplace algorithms, and the above sounds interesting to you then please contact me.
Preferred qualifications: PhD degree in Machine Learning/Math/Statistics or Bachelors/Masters with 3-5 years of experience in machine learning (or related field). If you have recent papers in top-tier conferences, github links for open-source code contributions, please feel free to share.
Data Science at Linkedin
Linkedin
If you’re interested in partnering with business units like product, marketing, business, customer operations and optimizing business strategies using advanced data science methodologies, this is for you!
Software Development Manager - Los Angeles
Capital Group
Capital Group’s search and knowledge management team builds innovative web and mobile solutions for our internal investment professionals to better collaborate in order to help millions of families realize their financial goals. We are currently building a new platform and are looking for an SDM to lead a two-pizza team of engineers. Please reach out if you have demonstrated success in launching transformative web and mobile customer experiences or have built scalable Natural Language Understanding, search, and Machine Learning solutions.
Link:
Capgroup.com
Data Scientist - Analytics, Growth and Traffic
Airbnb
Responsibilities
● Identify critical business problems and create analytical/modeling framework and solutions
● Translate complex findings and results into a compelling narrative
● Define and evaluate key metrics and understand what moves them and why
● Owner of conceptualizing, developing, and maintaining dashboards and visualizations
● Communicate analyses and recommendations to cross functional stakeholders for decision making
● Partner with Engineering to improve data source quality
● Empower the entire team to answer data questions quickly and easily by building high-quality ground truth data sets and tooling to make analysis repeatable and scalable
Experience
● Professional industry experience in a quantitative analysis role (4+ years preferred)
● Comfortable in SQL and some experience with a programming language, with Python or R a plus
● Ability to communicate clearly and effectively to cross functional partners of varying technical levels
● Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights
● Experience or willingness to learn tools to create data pipelines using Airflow
● Building clear and easy to understand dashboards and presentations
● Experience with growth marketing analytics - LTV, customer segmentation modeling a big plus.
Required Qualifications
● 5+ years professional industry experience in a quantitative analysis role
● Proficiency in SQL and experience with a programming language like Python, R, etc.
● Ability to identify complex business problems and provide sound analytical/modeling solutions
● Ability to communicate clearly and effectively to cross-functional partners of varying technical levels
● Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights
● Experience or willingness to learn tools to create data pipelines using Airflow
● Ability to build clear and easy to understand dashboards and presentations
Link:
https://careers.airbnb.com/positions/1724499/
Senior Data Scientist
Twitter
Who we are
Twitter serves the public conversation. Events break on Twitter, from massive and world-changing to the local tech conference. Users exchange and shape their thoughts by forming communities with shared interests.
The Consumer Data Science organization works closely with our cross-functional partners, and Twitter’s leadership to understand user behavior, inform product decisions, safeguard the health and integrity of our services, and to influence company strategy. We are currently hiring for the following subteams on Consumer Data Science. These high-impact teams value creativity, critical thinking, and teamwork.
The Consumer Data Science organization is hiring Senior Data Scientists in the following areas:
Growth (SF, Boulder, NYC) - Their mission is to increase Twitter’s daily utility for new and returning users through impactful and creative applications of experimentation and data analysis. As a key member of Growth Data Science, your work will directly influence exciting new product areas and help grow Twitter usage around the globe.
Video (NY) - This team works with the Live Video, Video on Demand, Publishers, and Camera products. The team is involved in opportunity sizing, experiment setup and analysis, and metric design in order to influence video and media strategy at Twitter.
Link:
https://careers.twitter.com/en/work-for-twitter/201904/senior-data-scientist-consumer-product5.html
Data Scientist - Trust (all tracks)
Airbnb
Trust is at the foundation of every Airbnb experience and as such we aim to make it the most trusted platform in the world. To achieve such goal, the Data Science team relies on a diverse collection of structured and unstructured data to design, build, and support machine learning models to detect and prevent potential negative experiences and fraud attempts.
As a Data Scientist working on Algorithms, Trust, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to build scalable and robust systems to detect, prevent and mitigate fraud on Airbnb. You will be deeply involved in the technical details of building highly available and real-time risk detection services to understand ever evolving attack vectors and to keep Airbnb a safe and trusted community.
Some of the challenges you will face include:
Building machine learning models to detect high risk activities like account takeovers, fake contents and fraudulent transactions, or high risk entities like fake accounts or stolen cards.
Experimentation of new Airbnb product features to deter and mitigate risk.
Working cross functionally with operations and product teams to define and collect labels for model training, optimize effectiveness of manual review, and build self-satisfiable verifications that scale.
Devising optimization models to make optimal business decisions while minimizing risk
Innovating modeling frameworks in this adversarial setup, e.g., how can models collaboratively surface more risks, or how can models adapt to emerging patterns quickly
Building NLP models to detect spam and inappropriate content on the fly.
Utilizing Deep Learning techniques for advanced feature engineering and model building, e.g., how to model for user behaviors sequences, or how can we detect anomalies effectively.
for details please check link
Link:
https://careers.airbnb.com/positions/1718478/
Machine Learning Engineer
LinkedIn
LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.
If you are an applied research engineer/scientist with a passion for working on massive semi-structured text and graph datasets, then the LinkedIn Data Team is the place for you. The ideal candidate will have domain experience (data mining, information retrieval, security data science, natural language processing, advanced statistics, and/or machine learning), a strong systems orientation, and experience in building data mining products. The work you put forth will directly impact and fuel LinkedIn’s search relevance, ad targeting, information extraction, and recommendations.
• BS + 5 years of relevant work experience, MS + 4 years of relevant work experience, or PhD +2 years of relevant work experience
• Working knowledge in one or more of the following: machine learning, data mining, information retrieval, security data science, advanced statistics or natural language processing.
• Experience with iterative, test-driven development.
• Experience with configuration management (SVN, GIT, ant, maven, etc.).
• Experience with developing and designing consumer-facing products.
• Experience with Hadoop, Pig, or other MapReduce paradigms.
• Knowledge of internals Lucene/SOLR or other information retrieval systems.
• Published work in academic conferences or industry circles.
Link:
None
Engineering Manager, News Feed and Stories Ranking
Facebook
The Facebook Stories team's mission is to provide a great way to people for creating and sharing Stories with people they care about. The Facebook Stories ML New Initiative team's goal is to build new experiences (0 to 1 projects) powered by Machine Learning to make those sharing moments most relevant and compelling, thus amplifying the value and impact of our products.
The team works on one of the most important area across the company working on personalizing and scaling one of the fastest-growing user-facing products at Facebook. The team has a great set of engineers and a consistent track record of outsized impact. Our work includes:
* Public Figures Content Distribution
* Improving Stories distribution for Public Figures content through better Ranking
* The above work also extends to Feed through improved Feed Ranking for Public Figures content
* Stories recommendations (Retrieval & Ranking)
* Building a ranking platform to enable smart ranking of smaller content types
* Investing in deep learning techniques (models and platforms) to improve efficiency and efficacy of our ML applications
Must Have: 1+ years of ML experience at an M1 level. Key responsibilities will include:
* Build and support a team of 7 engineers
* Deliver topline impact for Facebook Stories and Public Figures
* Understand and extend our ML systems
* Should be an ML generalist or specialist, can identify newer areas for applying ML to Facebook Stories and draw an execution strategy for the ML application
* Should have good understanding of ML Algorithmic and Modeling techniques, Feature Engineering and Data Analysis
* Should have good product sense
* Should be able to collaborate effective with XFN partners in Product, Data Science and sister teams on product strategy
Nice to Have:
1. A deep and fresh hands-on understanding of state-of-the art ML systems
2. Experience working on Consumer or Client products utilizing ML would be great
NLP Engineer/Compuomputational Linguist
Tableau
Tableau is building the next generation of self-service data analytics by enabling people to gain more insights from their data through natural language interactions - "Ask Data" and see the answer. As part of the Natural Language Processing (NLP) team, you will work on bringing NLP and search technologies into our products. You will develop statistical and data-driven algorithms and techniques for searching, processing, analyzing and modeling the semantics of structured and unstructured data.
If you are passionate about solving complex problems in the intersection between natural language and data visualization, we want to hear from you!
What you'll be doing…
Design and develop solutions to improve our ability to understand and generate natural language
Collaborate across design, research and engineering to implement scalable and robust services as well as the best user experience possible
Identify new opportunities to apply NLP, machine learning and other AI technologies across Tableau products
Collaborate with Tableau thought leaders on the strategy and vision for various NLP offerings, including Natural Language Query, UX, and Natural Language Generation
more details and applications in
https://tableau.wd1.myworkdayjobs.com/External/job/Palo-Alto-CA/Natural-Language-Processing-Engineer-Computational-Linguist_D84741?source=Career_Site
Applied Scientist (Amazon Alexa) Full-time or Intern
AMAZON
Interested in making Amazon Echo more intuitive? Help us make Alexa personalized to each of our customers. The Speaker ID (Voice Recognition) team enables Alexa to provide personalized experience to millions of Alexa customers.
Our mission is to make Alexa devices become your best friends, recognizing your voice with confidence. At core, we use both statistical and neural network models to make the magic happen. We are the brains behind “Alexa, who am I?” “Echo, call my mom?” and more. We help millions of Alexa customers to get personalized experience 24 hours a day, 7 days a week.
Amazon is looking for a passionate and inventive Speech Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU), in order to provide the best-possible experience for our customers.
Our Speech Scientists, work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.
Work in Bay Area or Seattle!
BASIC QUALIFICATIONS
Master's degree in Electrical Engineering, Computer Sciences, or Mathematics with specialization in machine learning or speech or speaker or image recognition; scientific thinking, and the ability to invent
1+ years experience with programming languages such as C/C++, Java, Perl or Python.
1+ years experience in building machine learning or speech or image or speaker recognition, or NLU or NLP systems
PREFERRED QUALIFICATIONS (Our wish list!)
PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, image recognition or NLU or natural language process
Link:
None
Research internship for Spring & Summer 2020 -- Amazon Ads
Amazon
Amazon Ads is looking for highly motivated PhD students for research internship positions. Openings are in Palo Alto location for both Spring and Summer of 2020.
Applicants should be pursuing PhD in Computer Science/Statistics/Electrical Engineering or related field. Research interns would be conducting original research with an end goal of publication in a top-tier conference. They would have access to Amazon data and get exposure to the suite of AWS tools to train and deploy machine learning models on real world systems. Areas of research include reinforcement learning, deep learning, NLP, and causal inference. Interested applicants please reach out to me with your CV.
Applied Sciences Manager
Amazon Advertising
Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publshers; and extends across US, EU and an increasing number of international geographies.
We are looking for a dynamic, innovative and accomplished applied sciences manager to lead machine learning and data science for the Advertising Traffic Quality vertical. You will lead a team of applied scientists, data scientists and analysts to deliver deep analytics to propel business decisions, and to build algorithms that efficiently detect and filter invalid traffic. You will be the single-threaded owner of the algorithms that go into our traffic quality systems and will be responsible for both near-term improvements to existing algorithms as well as long-term direction for Traffic Quality algorithms.
QUALIFICATIONS
Basic Qualification:
A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field
5+ years of hands-on experience in big data, machine learning and predictive modeling
3+ year people management and cross department functional experience
Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building
Strongly motivated by entrepreneurial projects and experienced in collaboratively working with a diverse team of engineers, analysts, and business management in achieving superior bottom line results
Strong communication and data presentation skills
Strong ability in problem solving and driving for results
Link:
https://www.amazon.jobs/en/jobs/841054/applied-sciences-manager
Applied Scientist
Amazon Advertising
The Ad Optimization group in Bangalore has the charter to build data-science focused products and platforms for the worldwide advertising organization in Amazon. We supply the technology to build a high quality advertising marketplace, optimizing performance for our advertisers and revenue for our publishers.
An Applied Scientist is responsible for solving complex big-data problems in the online advertising space using data mining, machine learning, statistical analysis and computational economics. An ideal candidate should have strong depth and breadth knowledge in machine learning, data mining and statistics. The candidate should have reasonable programming and design skills to manipulate unstructured and big data and build prototypes that work on massive datasets. The candidate should be able to apply business knowledge to perform broad data analysis as a precursor to modeling and to provide valuable business intelligence.
Link:
https://www.amazon.jobs/en/jobs/773790/applied-scientist-advertising-technology
Senior Data Scientist
Microsoft
Looking for Senior applied data scientist, with industry experience in data analytics, ML and big data.
More info: https://careers.microsoft.com/professionals/us/en/job/671954/Data-Scientist-Microsoft-Search
Link:
https://careers.microsoft.com/professionals/us/en/job/671954/Data-Scientist-Microsoft-Search
Member of Technical Staff
Applied Data Science Research, Bell Labs, Nokia
Job description:
The Applied Data Science Research Group is looking for candidates who can develop innovative techniques towards automation of the end-to-end data science workflow from initial data exploration to model creation and deployment. The selected candidate will be actively involved in the research aspects of developing and applying advanced data analytics, machine learning, and AI techniques and algorithms to solve challenging problems with real-world impact. Past experience in analyzing large scale data sets is desirable.
The candidate must be aware of the current state-of-the-art in the relevant research areas, including published research work. As the work will encompass development of innovative ideas, evaluation and analysis of them, and implementation as prototype systems, strong programming skills are required. Excellent verbal and written communications skills are also required, along with the ability to work effectively with internal and external customers and
Required:
• Ph.D. in Computer Science, Electrical Engineering, Statistics or related field
• Demonstrated capability to develop proof-of-concept prototypes for experimenting with novel algorithms
• Proven track record of research contributions and publications in leading and internationally recognized conferences and journals.
Desired:
• Ability to conduct independent research while also contributing to team-oriented projects. A successful candidate will be versatile, flexible, hands-on and a self-starter.
• Strong written and verbal communication skills
• Ability to work in collaborative environment with business and research partners.
PhD Research Intern, Mapping (Fall 2019)
Lyft Inc
Accurate, high-performance, large scale Hi-Fidelity mapping -- powers Lyft's mission of creating the real-time self-driving vehicles of the future (AVs). We are looking for Software Engineering and Research interns to join our team and drive impact at scale in a collaborative environment - helping us build and scale systems that deal with storage, processing and machine/deep learning pipelines on peta-bytes of multi-sensory data (imagery, LiDAR and beyond).
Experience & Skills:
• Ability to produce production-quality C++ or Python code
• Experience with Computer Vision, Machine Learning, Robotics or SLAM
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ICML, ICLR, ECCV/ICCV, BMVC, SIGGRAPH, NeuraIPS, RSS, IROS or ICRA
• Industry internship experience at a technology company
Link:
https://boards.greenhouse.io/lyft/jobs/4272123002?gh_jid=4272123002
Master's New Grad, SWE Machine Learning (2019)
Lyft Inc
With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're looking to building the next-generation ML platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML using peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business.
If you are a Master's New Graduate with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you.
Responsibilities:
• Design, build, train and test Machine Learning models
• Write production-level code to convert your ML models into working pipelines
• Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context
• Analyze experimental and observational data, communicate findings, and promote launch decisions
• Participate in code reviews to ensure code quality and distribute knowledge
Experience:
• Currently has or is in the process of obtaining a Master's degree in Computer Science or a related technical field
• Deep knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, etc
• Proven ability to effectively turn research ML papers into working code
• Practical knowledge of how to build efficient end-to-end ML workflows
• “Engineer at heart” with a high degree of comfort in designing software systems and producing high-quality code
Link:
https://boards.greenhouse.io/lyft/jobs/4330315002?gh_jid=4330315002
Research scientist
Yahoo Research (Verizon Media)
Details here: https://groups.google.com/forum/#!category-topic/ml-news/industrial-position/y-MbHse9c3g
Link:
https://groups.google.com/forum/#!category-topic/ml-news/industrial-position/y-MbHse9c3g
Data Scientist
Procter & Gamble
Data Scientist-Masters
https://www.pgcareers.com/job/cincinnati/data-scientist-masters/936/10527400
Data Scientist-PhD
https://www.pgcareers.com/job/cincinnati/data-scientist-phd/936/10527402
Link:
http://pgcareers.com/
Machine Learning Research Scientist
Kuaishou
Kwai is a user-oriented, technology-driven company which uses state-of-the-art machine learning techniques for instantly curated presentations and develops new AI algorithms and technologies to solve challenging industrial problems.
Kwai is looking for top AI Research Scientists and intern students who will utilize cutting-edge deep learning algorithms to provide superb experience to Kwai Advertisers including but not limited to Ads targeting, optimizations, ranking, pricing, RL/control, and recommendation. You have the opportunity to grow with one of the most rapidly growing AI companies worldwide and bring impact to 700 million users. The perfect candidate will be an expert researcher with a proven track record of doing AI research that impacts a complex and diverse product portfolio, while deeply understand our business strategy and strong collaboration cross team and cross function.
The location can be based on Seattle or Beijing depending on the availability.
Responsibility
•Research opportunities to leverage new technologies and algorithms to improve Ads system, including but not limit to ensemble methods, embedding methods, and sparse learning.
•Bring excellent experience to our users and business partners
•Work both independently and build cross-functional relationships with Business, Engineering, Product and Analytics.
Full Time Employee Qualifications
•Ph.D. in Computer Science, Statistics or related field, or a Master’s within one of these fields combined with 3+ years of hands-on research experience.
•Research experience in academia or industry on machine learning / data mining / deep learning.
•Experience with recommender systems is a plus.
•Experience with one of the deep learning toolkits such as TensorFlow, PyTorch, Caffe, etc.
•Experience with big data platforms such as Hadoop, Spark is a plus.
•Experience with data competition is a plus.
•Strong programming skill.
•Strong problem-solving abilitie
Link:
None
ML Scientists & Engineers - Amazon Prime Video
Amazon
Just finished Man in the High Castle and want to watch more of the same? Looking for a movie that's like The Big Sick? So are millions of our Prime Video customers. The Prime Video Relevance team suggests videos that are relevant and tailored to our customers’ schedules and environments. We help our customers find content they didn’t even known they were looking for, continuing to surprise them with the depth of our catalog.
In order to meet our customers rising expectations and ever expanding catalog of content, we’ve pushed the cutting edge of using deep learning for recommendations ever since. However, we’re still not satisfied with the experience, and we need your help to move even faster.
Our teams are already either exploring or leveraging: residual networks for surfacing more of our catalog, auto encoders and clustering to identify niche content carousels, attention networks to better understand what customers are currently into, reinforcement learning to optimize for the long term, graph convolution networks to understand the complex interaction of our customers with the videos they enjoy (or don’t), and transfer learning to optimize to different customer objectives. You will be on the cutting edge of machine learning research working with unparalleled amounts of behavioral data, metadata and the prime video content itself. You'll get to collaborate with a talented team of engineers and scientists to create services to run these predictions on distributed systems at incredible scale and speed.
Example job link above, but there’s plenty of other roles for engineers and scientists. Reach out to me directly to meet at the conference to learn more.
Link:
https://www.amazon.jobs/en/jobs/631434/sr-machine-learning-scientist-prime-video-relevance
ML/big data engineers in ad tech (senior to manager)
Indeed.com
Indeed.com is growing fast. We have different levels of opening for ad tech engineers and data scientists.
For example:
https://www.indeed.jobs/career/JobDetail/Software-Engineering-Manager-SMB-Ad-Tech/17545
Research scientist
Yahoo Research
The Data Science team at Yahoo Research is looking for a top researcher who likes to roll up her/his sleeves to make new discoveries that contribute to the success of the business, and can be presented at the top scientific conferences. Our scientists specialize in mining large amounts of data from the Verizon Media’s scale of billions of global users, to make or inform business decisions. We design and invent algorithms to push the boundaries of the intelligence, performance and security of our platforms, to mine huge amounts of data to get knowledge and understanding, and to find patterns and anomalies. We evaluate the impact in Web-scale production settings. We actively contribute to the scientific and open source communities in Computer Science and related areas.
Link:
https://bit.ly/315xTnV
Research Scientist PhD
Yahoo Research
We are looking for Research Scientists with a Ph.D. degree in Computer Science, Industrial or Electrical Engineering or Mathematical Optimization and Research Engineers with experience in building large scale data pipelines and who are excited to work, learn and build new exciting things alongside with Machine
Please send CV’s/Resume to sviri@verizonmedia.com and appply at https://oath.wd5.myworkdayjobs.com/careers/job/US---New-York/Research-Scientist_JR0009667
Link:
https://www.linkedin.com/jobs/view/1405925768/
Data Science Platform Engineer
Xandr - AT&T
Provide support to a large range of analytics, data science and machine learning applications in the ad tech domain. Support and build our data science plaform to service a growing number of applications related to buy side, sell side and marketplace level applications for Web and TV advertising. Handle big data and analytics tools using the python scientific stack to help our team build and deploy production level machine learning pipelines. Bachelor degree in computer science with 1 to 2 years experience in a data science related role.
Software Engineer II - Auction Logic
Xandr (AppNexus)
Consider some of the problems you will try to solve:
• Large-scale distributed systems: Our real-time budget problem requires a low-latency feedback loop, pushing updates on millions of objects to thousands of machines using our custom caching solution, all while observing strict SLA requirements.
• Interesting algorithmic problems: Optimize revenue, memory footprint, and overall algorithmic efficiency, making use of the latest research and techniques, high end hardware, lock-free data structures, intelligent thread design, and system architecture.
• Programming, probability, and statistics: Client success depends on the ability to accurately predict and track the performance of thousands of advertising campaigns that bid on a cost per impression, cost per click, cost per acquisition, or cost per view basis, all while staying within our 100ms time limit.
About the job:
• Design and implement new features and enhancements to our platform that require hard real-time constraints and elegant, yet powerful software solutions
• Collaborate within a small functional team with diverse technology backgrounds, as well as across multiple functional teams that develop systems and integrate across the platform
• Deploy regular code releases to production and test environments; prioritize bug fixes to ensure critical up-time
• Be responsible for the general health of the global real-time applications that must be operational 24/7/365
• Participate in design discussions about new features and ensure real-time technology integrates seamlessly with other pieces of the platform
More info and qualifications at: https://xandr.att.jobs/job/new-york/software-engineer-ii-auction-logic/25348/12188658
Link:
https://xandr.att.jobs/job/new-york/software-engineer-ii-auction-logic/25348/12188658
Postdoctoral Researcher
IBM
Postdoctoral Researcher
255781BR
Your Role and Responsibilities
We are looking for talented Postdoctoral Researchers who are as passionate as we are about artificial intelligence, advancing science, and inventing the next generation of intelligent machines. As an IBM researcher, you will work on the most cutting-edge, world-class projects and collaborate with top researchers both inside IBM and at our world-class partner universities like MIT and Columbia. Your creativity and innovative problem solving will be essential to the success of our team and the company. We want to bring out the best in you and expect you will do the same for us!
Work Location: Yorktown Heights, NY
Required Technical and Professional Expertise
At least 2 years of relevant research experience in machine learning on spatial-temporal data
At least 2 years of relevant research experience in network embedding or graph neural networks
Experience with machine learning/deep learning tools and frameworks including but not limited to: PyTorch or TensorFlow.
Expertise in programming in one or more of these languages: Python, C/C++, Perl, Java.
Advanced skill level in solving analytical problems using rigorous and quantitative approaches.
Advanced skill level in creating and applying new algorithms in AI disciplines such as machine learning, data mining, time-series, NLP, and knowledge reasoning
Experience in clearly and effectively communicating your research ideas in peer-reviewed technical conferences such as NeurIPS, ICML, ICLR, IJCAI, AAAI, ACL, KDD or similar
Preferred Technical and Professional Experience
PhD in machine learning, artificial intelligence, computer science, signal processing, statistics, or related technical fields
Advanced skill level with standard machine learning techniques and deep learning techniques
Experience analyzing large scale data from a variety of sources (multimodal-data)
Design interface, validation, and characterization between algorithms and systems
Experien
Link:
https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26059&siteid=5016&Areq=255781BR#jobDetails=271278_5016
Software Engineering Team Lead - Auction Logic
Xandr (AppNexus)
As a Team Lead working on the Auction Logic team, you will have the opportunity to quickly see the impact of your contributions to our clients and end users. You will spend up to half your time leading a team of Engineers to solve problems that face online publishers in a variety of areas. The remainder of your time will be spent writing code and solving problems as an individual contributor.
The application that processes all of those requests, Impression Bus, is among the responsibilities of the Auction Logic team. You will provide solutions to help connect advertisers and publishers on the digital marketplace as well as resolve complex technical issues that arise as a result of the immense scale of our platform. You will lead your team through exciting new opportunities as Xandr grows into new business areas and increases its scale.
Consider some of the areas in which you will focus:
• Large-scale distributed systems: Design, maintain, and build systems at scale. Our Platform requires pushing updates on millions of objects to thousands of machines using our custom caching solution all while observing strict SLA requirements.
• Interesting algorithmic problems: Use the latest research and techniques to make full use of the underlying hardware and instruction sets, utilizing things like lock-free data structures and intelligent thread design to optimize revenue, memory footprint, and overall algorithmic efficiency.
• Collaborate with other Engineering functions: Most new features and functionality are the result of multiple teams working together to produce the best possible outcomes for both our clients and our business.
• Prototype to Production: As a bold company where Engineers work right alongside Product Managers, we go from iterating & validating a new concept with beta customers to developing it into production-quality code.
More info and qualifications: https://xandr.att.jobs/job/new-york/software-engineering-team-lead-auction-logic/25348/12239685
Link:
https://xandr.att.jobs/job/new-york/software-engineering-team-lead-auction-logic/25348/12239685
Data Scientist- Analytics, Lux
Airbnb
Responsibilities
● Identify critical business problems and create analytical/modeling framework and solutions
● Translate complex findings and results into a compelling narrative
● Define and evaluate key metrics and understand what moves them and why
● Owner of conceptualizing, developing, and maintaining dashboards and visualizations
● Communicate analyses and recommendations to cross functional stakeholders for decision making
● Partner with Engineering to improve data source quality
● Empower the entire team to answer data questions quickly and easily by building high-quality ground truth data sets and tooling to make analysis repeatable and scalable
Experience
● Professional industry experience in a quantitative analysis role (4+ years preferred)
● Comfortable in SQL and some experience with a programming language, with Python or R a plus
● Ability to communicate clearly and effectively to cross functional partners of varying technical levels
● Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights
● Experience or willingness to learn tools to create data pipelines using Airflow
● Building clear and easy to understand dashboards and presentations
● Experience with ML modeling
Required Qualifications
● 4+ years professional industry experience in a quantitative analysis role
● Proficiency in SQL and experience with a programming language like Python, R, etc.
● Ability to identify complex business problems and provide sound analytical/modeling solutions
● Ability to communicate clearly and effectively to cross-functional partners of varying technical levels
● Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights
● Experience or willingness to learn tools to create data pipelines using Airflow
● Ability to build clear and easy to understand dashboards and presentations
Link:
None
Applied Scientist Intern & SDE Intern
Amazon
We’re looking for SDE/applied scientist interns in the AWS AI Shanghai and Tubingen lab, starting any time. A strong background in deep learning, linear algebra, programming language, Python and C++ is preferred.
Link:
None
Research Internship 2019/2020
Signify
Work with a team of data scientists to solve industrial problems using AI. We have multiple internship positions that requires experience with techniques such as Bayesian inference, recommender systems, computer vision and deep learning etc. Ping me for more details.
Link:
None
Head of Data Science (product analytics)-- Marketplace Integrity
Facebook
Marketplace is one of fastest growing products at Facebook. This role supports DS team for detection/enforcement against violating contents and bad actors, trust products, care products, and payments risk within Marketplace.
3+ years of experience managing large teams is a must. Experience managing managers is a plus.
Link:
None
Data scientist
Kaiser Permanente
- python
- deep learning (LSTM, RNN)
- forecasting methods
- stats
- NLP In Health
- RL experience
Link:
None
Machine Learning Research Scientist
United Technologies Research Center
The United Technologies Research Center (UTRC) is the corporate research center of UTC, operating at the leading edge of commercial and military aviation, aerospace systems, climate control, elevator design, and security and fire protection.
Education: Ph. D. in Computer Science, Electrical Engineering, Mechanical Engineering, Mathematics, physics or Statistics.
The successful candidate for this position will be responsible for formulating problems and determining methodologies to take advantage of existing analytical tools and developing new tools to extract meaning and trends from the data. Successful candidates must have the ability to perform the following functions:
• Research, design and prototype novel analytics algorithms and models on machine learning, data mining and statistical modeling to discover actionable and interpretable insights.
• Demonstrate proficiency and deep knowledge in statistical machine learning methods, deep neural networks, Bayesian and probabilistic inference and state-of-art tools.
• Demonstrable research experience in manipulating and analyzing large multi-modal data sets
• Demonstrate the potential to initiate, lead, and execute funding opportunities in both internal and external R&D;
• Identify technology gaps and propose project opportunities to increase technical capabilities to further support our customers. • Operate as the Principal Investigator for technical projects, including project planning, mentoring team members, and interfacing directly with our customers.
• Keep abreast of the latest developments in the field by continuous learning and proactively champion new ideas and new problem definitions.
Tableau internship
Tableau
Will be open for applicants in next couple weeks. General hire but can target to specified teams that focus on ML and NLP. Feel free to keep an eye on company's career website: careers.tableau.com. Thank you.
Manager, Data Sciences Machine Learning
Otsuka Pharmaceutical Company
Otsuka is looking for a technically strong data scientists with expertise in machine learning, statistical data analytics, and applications. The prospective candidate must have an excellent knowledge of advanced methods, and experience in applying those methods to novel applications. The successful candidate will be enthusiastic open to grow in new directions in a pharmaceuticals setting covering a variety of functional areas, work with a team of scientists and practitioners from different functional areas to solve practical problems. Fresh graduates with advanced degrees are welcome to apply.
Job Responsibilities
Establish and implement end to end proof of concept for data analyses across functional areas
Build proof of concept systems in collaboration with data engineers and scientists.
Develop new data driven and digital models to transform business operations
Presenting to senior leadership as well external audience
Demonstrates the ability to create new and different solutions that align to real work problems and opportunities
Proficiency in computer programming with excellent software development skills using state-of-the-art technologies and languages (C++, Java, R, Python, and other scripting languages)
Lead data science projects end-to-end from conception to Proof-Of-Concept to deployment
Establish strong collaborations with business units to understand data and advanced analytics needs across business functions and translate them to data science and engineering initiatives
Qualifications
1 - 3 years hands on experience in advanced machine learning or data sciences
Master’s Degree required and PhD strongly preferred in Computer Science, Engineering, Physics, Statistics, or a related field with focus on data analysis. Candidates with recent degrees are welcome to apply.
Command of principles of machine learning, statistical analysis, data mining algorithms, and mathematical modeling
Demonstrated ability to use knowledge of recent techniques
Link:
https://external-otsuka.icims.com/jobs/10732/manager%2c-data-sciences-machine-learning/job
Principal AI/ML Scientist (director level)
Signify
You would be leading a team of motivated scientists to build AI-driven products for the world's largest lighting company. Ping me for more context on AI possibilities at Signify.
Postdoctoral and Ph.D. (Full-time and Part-time) positions
University of Maryland, Baltimore County
We have Postdoctoral and Ph.D. (Full-time and Part-time) positions funded by multiple NSF projects at the Department of Information Systems, University of Maryland, Baltimore County.
Areas of Research: Data Science, Machine Learning, Artificial Intelligence, Health Informatics, Human-Centered Computing, Software Engineering
If interested, please contact psanjay@umbc.edu or nroy@umbc.edu
Link:
None
Applied Machine Learning Engineer
ByteDance
Responsibilities:
- Participate in the development of a large-scale recommendation system and machine learning platform.
- Participate in the development and iteration of recommendation algorithms.
Requirements:
- Solid programming skills, proficient in C/C++, good programming style and work habits.
- Familiar with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet), and deep learning algorithms (CNN/RNN/LSTM, etc.).
- Ability to solve problems independently, good sense of teamwork and communication skills.
- Experience with open sourced deep learning framework.
- Familiarity with parallelization of Sparse LR, FFM, and deep models on large-scale data is preferred.
- Experience in resource management and task scheduling with large scale distributed software is preferred.
Link:
bytedance.com
Research Scientist in Recommendation System
ByteDance
Responsibilities:
- Improve core recommendation algorithm.
- Conduct cutting-edge research in recommendation related problems, and apply the technology to different business scenarios.
Requirements:
- Published papers at top conferences such as ICML, NIPS, ICLR, RecSys, and KDD.
- Master of C/C++ and solid programming skills with good programming styles and work habits.
- Familiar with mainstream deep learning frameworks such as TensorFlow, Caffe or MXNet and their underlying frameworks and implementation mechanisms.
- Familiar with deep learning algorithms such as CNN/RNN/LSTM/VAE.
Preferred qualifications:
- Familiar with the parallelization of sparse FTRL, FFM, and deep models on large-scale coefficient data.
- Familiar with reinforcement learning and experience in contributing open sourced deep learning framework.
- Experience in resource management and task scheduling with large distributed software such as Spark and TensorFlow.
Link:
bytedance.com
Machine Learning Scientist
ByteDance
Responsibilities：
- Conduct cutting-edge research in artificial intelligence, machine learning and data mining.
- Ensure successful technology transfers to ByteDance products.
Requirements:
- Ph.D. or master degree in relevant fields.
- Strong analytical skills, algorithmic and coding skills (C++, Java, Python, CUDA, etc.).
- Research experience in but not limited to the following:
- Deep learning
- Large-scale optimization
- Probabilistic modeling, Bayesian inference, nonparametric models
- Reinforcement learning
- Data mining and graph mining
- Recommender systems
Link:
bytedance.com
Search Algorithm Engineer
ByteDance
Responsibilities:
- Develop ByteDance next-generation search engine with cutting-edge machine learning technology and massive data to provide our users with the best search experience.
- Develop core search products such as TikTok, Toutiao, Douyin, etc., serving hundreds of millions of global users.
- Improve search engine core algorithms, including Natural Language Processing, Ranking, Page analysis and summary, Link analysis, etc.
Requirements：
- Excellent problem analyzing and solving skills.
- Excellent understanding of Deep Learning, NLP and Data Mining to model search problems well.
- Strong code capabilities, solid data structure and algorithm skills.
- Familiar with Linux, proficient in C++ and Python.
- Experience in mainstream large-scale search engine development will be a plus.
- If you are extremely smart and always able to become an expert in a whole new field in 7 days, you can ignore all of the above requirements!
Link:
bytedance.com
Machine Learning in Recommender System
BOSS Zhipin
We have multiple positions on ML for recommender systems available across all levels. The location is Beijing China.
Boss Zhipin is one of the largest online job matching system in China with 63 million users as of March 2019.
Drop me a note at xuayanbo@kanzhun.com if you are interested in learning more about these positions.
Link:
http://Zhipin.com
Data Scientist - Sponsored Ad Experiences
Amazon
We are seeking a Data Scientist to join the Amazon Sponsored Products Search Supply team. The Search Supply team works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search pages world-wide. Leveraging Amazon's massive data repository, our data scientists develop experiments, insights and optimizations that enable the monetization of Amazon online and mobile search properties while enhancing the experience of Amazon shoppers.
BASIC QUALIFICATIONS
· MS with 2+ years of industry experience or Bachelors with 5+ years of experience in Quantitative field (CS, ML, Mathematics, Statistics, Physics)
· 3+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
· Experience in creating data driven visualizations to describe an end-to-end system
· Highly skilled in data and math/statistical methods (i.e. modeling, algorithms)
· Evidence of using of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects
PREFERRED QUALIFICATIONS
· PhD in a quantitative field.
· 3+ years of experience with A/B testing, statistical inferencing and modeling.
· Background in economics or econometric models.
· Experience with applying machine learning techniques to real-world problems.
· Experience working with distributed computing tools such as Spark.
· Experience with owning and delivering data science solutions for an entire business application.
· Excellent written and oral communication skills in English.
· Strong analytical and problem-solving skills.
Link:
None
Multiple Engineer and Scientist Positions
Robinhood
Insights from data power most decisions at Robinhood. Data Scientist at Robinhood works with other data scientists and engineers to collect, organize, and analyze data from all parts of Robinhood's business to power these decisions.
Every decision made at Robinhood is backed by data. Our company trajectory is defined by the systems, tools, and analytics powered by our exceptional team. We integrate multifaceted data streams such as rapidly changing market data, user data based on app activity, and brokerage operations data to perfect our processes and workflows.
As a Data Scientist you'll:
Combine knowledge of several research domains to help power decisions at Robinhood.
Design new machine learning systems to power the analytics efforts at Robinhood.
Improve the statistical methodology backing our experimentation platform.
Build statistical models to predict user behavior and risks to the business.
Adapt machine learning algorithms to solve problems across several teams, such as product, operations, customer support, compliance, and security.
Some things we consider critical to being a Data Scientist:
Graduate degree in a quantitative field such as mathematics, statistics, engineering or natural sciences (or equivalent research experience).
Solid understanding of statistical analysis and machine learning algorithms.
Excellent programming skills, including expert level familiarity with either Python or R programming languages.
Data Scientist
Microsoft
Do you want to shape the future of oil & gas through innovative technology solutions? We are looking for data scientists who want to apply deep learning techniques to solve real-world problems for oil & gas verticals.
We are a fast-paced data science team in the Azure Global Group, building deep learning powered intelligent tools and end-to-end solutions. We are looking for a data scientist with initiative, strong problem solving, design, coding, and debugging skills to help us deliver high-quality machine learning models and solutions for oil and gas customers. We value passion, creativity, desire to learn new complex technical areas, agility and accountability. You will be a meaningful part of a growing team of motivated and talented individuals. This is an excellent opportunity to challenge yourself and grow your career.
As part of the role, you will help develop deep-learning based models and tools for oil & gas applications such as seismic image processing, oil price forecasting, well production prediction, facies classification etc. You would also work on predictive and prescriptive modeling, text and image mining & processing, recommendations, clustering, forecasting methods, and other advanced statistical techniques.
Link:
https://careers.microsoft.com/us/en/job/639375/Senior%20Data%20Scientist
Applied Scientists and Engineers
Amazon
Personalization at Amazon is hiring Applied Scientists and ML-focused Software Engineers. We build recommender systems with access to the greatest online shopping dataset on the planet, designed and deployed to make a HUGE impact to the Amazon.com shopping experience. Ping me if you’re interested!
ML Engineer, Data Scientist
Walmart Labs
• Understands and translates business and functional needs into machine learning problem statements
• Translates complex machine learning problem statements into specific deliverables and requirements
• Designs and develops scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements
• Works closely with data scientists and data engineers to develop machine learning algorithms
- opportunities for projects in ecommerce, pricing, assortment, replenishment decision-making
- Feel free to connect with me if you have any questions!
Link:
http://linkedin.com/in/moonkang
Research scientist and engineer - NLP&DL
JD Digits
JD Digits AI Lab at Silicon Valley, is looking for research scientists and engineers with strong background in natural language processing, deep learning, machine learning and data mining. Our mission is to build intelligent AI engines that connect hundreds of millions of users to our products.
Responsibilities:
1) Conduct applied research and development in natural language processing, deep learning, and machine learning.
2) Research and evaluate state-of-the-art AI algorithms for natural language understanding, customer/sale chatbot, intelligent dialogue system, personal assistant.
Key Qualifications:
• Master (at least 2-year industrial experience) or Ph.D. in at least one of the following field (but not limited to):
o Natural language processing: text labeling and parsing, text mining, dependency paring, question answering and chatbot dialogue systems, entity extraction and reasoning, knowledge graph, etc.
o Machine learning/data mining: deep learning, large-scale optimization, information retrieval, etc.
• Strong analytical skills (probability, algebra, optimization, etc.).
• Ability to quickly prototype with practical algorithms and write high quality code in a programming
language (such as Python, Java, C++). Preferred Qualifications:
• Experiences in developing new algorithms with track record on top journals/conferences
• Experiences in integrating new techniques into the live production system
• Familiar with at least one of deep learning frameworks: Tensorflow, Pytorch, Caffe, Mxnet, etc.
• Experience with large-scale computing platform, e.g., Spark, Hadoop
• Finance/insurance industry experience is a plus but not required.
• Self-motivated and eager to learn new things.
• Team orientation: we work towards our goal as an agile team together.
If you are interested, please send your CV and questions to: chaochun.liu@jd.com.
Link:
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