The KDD Job Match program provides an opportunity for KDD attendees to apply to data science jobs at our various sponsors. Attendees will register on the job match site, select the companies that interest them, and upload their CV or their LinkedIn profile. Four weeks before the conference, KDD will forward the resumes to the companies selected by the attendees. Companies can then choose to hold interviews with selected applicants during the conference (or at another mutually acceptable location and time). We'll see you in San Francisco!

The deadline to ensure that your CV is sent is end of day Monday, August 1, 2016. Be sure to update your profile now!


  1. Register for KDD2016 in San Francisco
  2. Sign in to You may need to create an account first.
  3. Click on Upload Your CV
  4. Fill in your KDD2016 registration number.
  5. Select the companies to whom we will send your CV.
  6. Upload your CV or the URL to your LinkedIn profile. Click SUBMIT.
  7. Sign up to receive important notifications.
  8. Return at least 4 weeks prior to KDD2016 to update your preferences.
  9. Join us in San Francisco

Sign In Register

Participating Companies

Didi Chuxing is the world’s largest comprehensive one-stop mobile transportation platform. The company offers a full range of mobile technology-based transportation options for close to 300 million users across over 400 Chinese cities, including taxi hailing, private car hailing, Hitch, Chauffeur, DiDi Bus, DiDi Test Drive, and DiDi Enterprise Solutions. As many as 14 million rides are completed on Didi’s platform on a daily basis. Independent sources show that Didi holds over 87% of the private car service market and over 99% of the taxi hailing service market in China. As a practitioner in the sharing economy initiative, we are committed to work with communities and partners to solve China’s transportation and environmental challenges using big data-driven deep-learning algorithms that optimize resources allocation. By continuously improving the user experience and creating social values, we are committed to building an efficient, collaborative, and sustainable transportation ecosystem.
More information at:

Adobe is proud to be a platinum sponsor of this year’s conference in San Francisco. We wish you a safe journey to San Francisco and hope to see you at the conference.

Marketing and Data are in Adobe’s DNA

Adobe has an unparalleled 30-year history of innovation in creativity and marketing with its flagship products, such as Adobe Photoshop® and Acrobat®. We have made creative work beautiful and accessible online through Adobe Creative Cloud™. Adobe now makes marketing smart and accessible online through the Adobe Marketing Cloud, the most comprehensive and integrated marketing solution in the industry. Only Adobe can bridge the art of creative with the science of marketing with solutions that enabling marketers to measure, personalize, and optimize marketing campaigns and digital experiences for optimal marketing performance.

Adobe Careers

At Adobe, we’re changing the world. How? We give people the tools to bring their ideas to life and create content that makes life more fun and work more meaningful. We give businesses and organizations the power to truly engage their customers. We’re the ones behind the gorgeously designed content that
streams across your laptop, TV, phone, and tablet every day—and we’re the ones who harness the massive power of big data to help companies move from data to insight and insight to action by delivering content that people crave most.

Senior Data Scientist

Data Scientist

See you at KDD 2016!

At Microsoft, we aim to empower every person and every organization on the planet to achieve more. We care deeply about having a global perspective and making a difference in lives and organizations in all corners of the planet. This involves playing a small part in the most fundamental of human activities: Creating tools that enable each of us along our journey to become something more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and we aim to enable our customers to thrive in this world.

Senior Data Scientist (Bellevue, WA)

Senior Applied Scientist (Bellevue, WA)

Senior Data Scientist (Bellevue, WA)

Data Scientist (Redmond, WA)

More information can be found at:

Interested [in] unlocking the potential LinkedIn’s data can do to change the world?LinkedIn’s team of data scientists and researchers work with huge amounts of data, solve real problems for our members around the world, and publish at major conferences. They work to improve the relevance in our products, contribute to the open source community, and are actively pursuing research in a number of areas. Learn [in] below about the opportunities at LinkedIn:

More information at:

Data driven analytics is impacting Bosch’s products and services in many domains: Autonomous Driving, Predictive Maintenance, Health Informatics, Vehicle Diagnostics, Manufacturing, Large-Scale Simulations and more. We focus on distributed and hybrid architectures for big data analysis, temporal data analytics, multi-modal and heterogeneous data analysis, distributed optimization, and anomaly detection. Our innovations are unrivalled in quality, performance and reliability for people and the environment. Come join Bosch’s innovative Data Science team!

We are currently hiring for the following roles:

Please visit our website for more information!

Facebook was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization. Our research and production implementations leverage many of the innovations being generated from Facebook’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.

Software Engineer, Machine Learning(Menlo Park, CA)

Facebook is seeking machine learning engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems, e.g. payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.

Applied Research Scientist, Core Machine Learning

(Menlo Park, CA - New York, NY)

We are looking for experienced applied researchers in machine learning and AI with strong software engineering skills. The Core Machine Learning Team is part of the Applied Machine Learning organization. The team carries out applied research in ML/AI and designs, develops and deploys state of the art ML/AI algorithms to the rest of Facebook. The team has developed and optimized various algorithms including Neural Networks, Boosted Decision Trees, Sparse Linear Models, and Deep Learning for several ranking teams including Ads, Feed, Search, Instagram and others.

Data Scientist, Infrastructure Strategy

(Menlo Park, CA - Boston, MA - Seattle, WA)

How would Facebook scale to the next billion users? The Infrastructure Strategy group is responsible for the strategic analysis to support and enable the continued growth critical to Facebook’s infrastructure organization. The ideal candidate will be passionate about Facebook, highly analytical, have strong mathematical aptitude and has experience using data to drive cost effective decision making.

Research Scientist, News Feed Science

(Menlo Park, CA)

The News Feed Science team conducts applied research to understand the News Feed ecosystem and the behavior of people who use our site. We build methods and tools to deploy and analyze complex product experiments and work directly with the News Feed Ranking and Relevance teams to better understand the stories that users want to see in their News Feed and what ranking changes will provide the optimal user experience. We are seeking individuals with stellar empirical research skills and are comfortable working in a software engineering environment. Applicants must demonstrate depth of knowledge in a technical field such as mathematics, economics, statistics, operations research, or computer science as well as experience within data science such as causal analysis, machine learning, surveying, experimentation, empirical research, visualization, simulation, and modeling.

Software Engineer, PhD University Grad (Ranking and Relevance)

(Menlo Park, CA - New York, NY - Seattle, WA)

As a Software Engineer or Research Scientist at Facebook, you will help build the next generation of machine learning systems behind Facebook’s products, create web applications that reach millions of people, build high volume servers and be a part of a team that’s working to help connect people around the globe.

Software Engineer, PhD Intern/Co-op (Ranking and Relevance)

(Menlo Park, CA - New York, NY - Seattle, WA)

As a PhD intern at Facebook, you will help build the next generation of machine learning systems behind Facebook’s products, create web applications that reach millions of people, build high volume servers and be a part of a team that’s working to help connect people around the globe.

As part of our hiring process, PhD interns are pre-assigned to a relevant team based on their expertise and interests.

For more information please visit strives to be Earth’s most customer-centric company where people can find and discover virtually anything they want to buy online. Amazon’s evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company’s DNA. The world’s brightest technology minds come to Amazon to research and develop technology that improves the lives of shoppers, sellers and developers.

We are looking for talented researchers in machine learning, speech, computer vision, optimization and other applied research domains at all levels in over a dozen global locations. The full listing of openings are at

Highlighted positions include:

Machine Learning, Core Machine Learning

Machine Learning Research, Supply Chain

Machine Learning, Graduating PhD students (All students should use this link)

The mission of the Cognitive Computing group in IBM Research is to create the innovative

technology to build Cognitive Systems that closely partner with people to augment and scale human expertise in every industry, from Healthcare to Financial Services to Education. Knowledge Extraction, Representation, Retrieval & Reasoning form the essential basis for such systems. We have many openings available for the following positions:

Minneapolis-based Target Corporation (NYSE: TGT) serves guests at around 1,800 stores and at Since 1946, Target has given 5 percent of its profit to communities, that giving equals more than $4 million a week. For more information, visit For a behind-the-scenes look at Target, visit or follow @TargetNews on Twitter.

For more information:

At Capital One, data is at the center of everything we do. When we launched as a startup, we disrupted the credit card industry by personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years and we are leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Data Scientist, USA – DC

Sr. Manager of Data Science, USA – DC

Data Analyst, USA – Multiple locations

Data Scientist, USA – Plano

Data Scientist, USA – New York

More information at:

NEC Laboratories have a strong track record in artificial intelligence technologies: e.g., we developed the face recognition technology ranked No. 1 by NIST for 3 years in a row as well as very fast and high-precision heterogeneous mixture learning. Start a career with us and become part of our international team of researchers by joining one of our global research laboratories and discover our open and stimulating work environment. Help us orchestrating a brighter world!

More information can be found at

eBay is where the world goes to shop, sell, and give. Our ideas shape the future of the online marketplace and enable connected commerce. Our research creates a better understanding of people, technology, and world around us. Our contributions feed back into the academic and open source communities, to inspire the next generation of innovations.

We are a cross-disciplinary team of researchers, engineers, and technologists conducting research, innovation, and advanced development in diverse areas of big data science, machine learning, search, human language technology, economics, computer vision, human computer interaction, and statistics.

More information at:

It is Tencent’s mission to enhance the quality of human life through Internet services. Presently, Tencent is providing value-added Internet, mobile and telecom services and online advertising under the strategic goal of providing users with “one-stop online lifestyle services”. Tencent’s leading Internet platforms in China – QQ, WeChat,, QQ Games, Qzone, and Tenpay – have brought together China’s largest Internet community, to meet the various needs of Internet users including communication, information, entertainment, e-commerce and others. Tencent Social Ads is one of the fastest growing businesses at Tencent. Tencent social ads offers inventories from Tencent’s most competitive platforms, serving well over 10B page views per day. Our systems serve personalized ads while ensuring user privacy. We strive to understand as much as possible on our users’ multiple aspects, and leverage the data for better ads experience.

Data Mining Research Engineer

Hundreds of millions of users generate large-scale behavioral data on QQ & Wechat everyday. The rich user behaviors lay a solid foundation in user profiling and ads targeting. We are looking for a data mining research engineer to help Tencent advance our user behaviour modeling, and to work closely with ads targeting team to improve ads quality.


Model, calibrate, and verify audience categories

Design algorithms to merge data from diverse sources to provide a coherent view.

Design algorithms to expand audience based on user similarity and social graph.


-MS or Ph.D. in Computer Science or related technical fields.

-Strong competencies in data structures, algorithms and software design.

-Programming experience in Java or C++. Programming experience in Python is a plus.

-Experience in natural language processing, data mining, or machine learning.

-Experience in distributed computing and big data programming (MapReduce, Hadoop, Spark, etc) is preferred.

Ads Quality Research Engineer

Tencent Social Ads strives to better understand our users, serve the best personalized ads and ensure an optimal user experience. We are looking for an ads quality engineer to improve ads ranking and advertisers’ returns on investment. You will work closely with ads user data mining team, CTR (Click-Through-Rate) prediction team, CVR (Conversion Rate) prediction team, and user experience team to improve advertising efficiency through large-scale machine learning.


-Build large scale machine learning systems to process billions of training samples, and train models with billions of features;

-Apply machine learning models to improve CTR, CVR, and other metrics.

-Research in ads ranking mechanism, integrate different scores (pCTR, pCVR, pDislike etc.) to improve ads ranking and increase ads efficiency.


-MS or Ph.D. in Computer Science or related technical field.

-Strong competencies in data structures, algorithms and software design.

-Programming experience in Java or C++. Programming experience in Python is a plus.

-Experience in natural language processing, data mining and machine learning.

-Experience in distributed computing and big data programming (MapReduce, Hadoop, Spark, etc) is highly preferred

Shaping the Future – with Passion for Research, Technology and Innovation” – this is the mission of Corporate Technology (CT). Under the leadership of the Chief Technology Officer and in cooperation with the operative units, CT develops the company’s technology and innovation strategy, promotes business excellence through consulting and development services, and protects Siemens’ intellectual property. As a strategic partner to the company’s businesses, our central research and development unit plays a key role in advancing Siemens’ digitalization strategy. CT supports the company along the entire value chain, from research and development to production technology and manufacturing to the testing of products and solutions. See

Selected currently available job positions:

Big Data Scientist, Princeton, NJ

Research Scientist Machine Learning, Berkeley, CA

Predictive Analytics / Deep Learning, Princeton, NJ

Research Scientist – Computer Vision, Princeton, NJ

More information available at:

Siemens, Princeton

Siemens, Berkeley

We pride ourselves on the amazing team we’ve built. The driver behind all our growth, our bold and disruptive brand, and the game changing technology we bring to market is the people that make Uber well, Uber. Delivering a first class, on-demand transportation experience takes people with *all hands on deck* mentalities. That’s what we hire for and that’s what keeps us ahead of the rest.—

Data Scientist Position (pdf)

Data Leadership Position (pdf)

Machine Learning Software/Data Engineering (pdf)

Criteo displays 3B ads per day, participating in 20B auctions in real-time. To operate at this scale, we solve problems in multiple domains such as: Real-time Bidding,Recommender systems, Auction theory, Game theory/Reinforcement learning, Experimentation/Metrics & Optimization.

At Criteo we work at a scale of speed, performance and complexity that few others in the industry can compete with. Our data is not big it’s absolutely HUGE. To help us solve these challenges we need to have the best of the best in terms of engineering and research talent within our R&D team.

Joining us will get you an opportunity to work alongside industry leading experts who will provide you with guidance and mentoring that will benefit you for the rest of your career.

  • We’re a company that’s sharply aware our world is primarily driven by technology.
  • Every day is different and we’re proud to make it a culture that always challenges your skills.
  • We succeed because of our interdependent culture. If you’re someone who leads by example, you’ll do great here.

We are constantly looking for outstanding research scientists and engineers who are interested in revolutionizing the world of online and computational advertising. We have positions available in both our Palo Alto & Paris locations for the following roles:

Drop us a line at r& if you want to learn more.

For more information on what we do and other job openings, visit:

At Twitter, our mission is to instantly connect users to the information most meaningful to them. Realizing this mission involves work in areas such as recommendation systems, information retrieval systems, large graph analysis, machine learning, prediction systems and more. We are looking for relevance engineers and machine-learning experts to work on exciting algorithmic as well as deep infrastructure issues, all at a really big scale.

We’re hiring in San Francisco, Seattle and New York. A few opportunities to join the flock:

Software Engineer (Machine Learning) - Consumer Product

Data Science & Machine Learning - Revenue Products

Software Engineer, Deep Learning

More opportunities and information can be found at

Tableau Software is a company on a mission. We help people see and understand their data. After a highly successful IPO in 2013, Tableau has become a market-defining company in the business intelligence industry. Our culture is casual and high-energy. We are passionate about our product and our mission and we are loyal to each other and our company. We value work/life balance, efficiency, simplicity, freakishly friendly customer service, and making a difference in the world!

Senior Software Engineer, Product Testing, Data Prep

Software Engineer, Data Preparation

Staff Software Engineer, Database Query Execution Specialist

To see a full list of open roles, visit our careers site -

Netflix is the world’s leading Internet television network with over 83 million members in over 190 countries. We use data to make recommendations, find great content, and drive innovation. We are continuously discovering new ways to improve our product using machine learning algorithms, which power many aspects such as personalized recommendation, page generation, targeting, and search. Want to have a big impact and tackle hard problems to delight our members? Join us.

Google’s mission is to organize the world‘s information and make it universally accessible and useful. Perhaps as remarkable as two Stanford research students having the ambition to found a company with such a lofty objective is the progress the company has made to that end. Ten years ago, Larry Page and Sergey Brin applied their research to an interesting problem and invented the world’s most popular search engine. The same spirit holds true at Google today. The mission of research at Google is to deliver cutting-edge innovation that improves Google products and enriches the lives of all who use them. We publish innovation through industry standards, and our researchers are often helping to define not just today’s products but also tomorrow’s.

Research Scientist, Machine Learning and Intelligence - Mountain View, CA

Google Brain Resident, 2017 Start (Fixed Term Employee) - Mountain View, CA

Software Engineer, PhD University Graduate (United States) - By applying to this position your application is automatically submitted to the following locations: Cambridge, MA, USA; Madison, WI, USA; San Francisco, CA, USA; Irvine, CA, USA; San Bruno, CA, USA; Pittsburgh, PA, USA; Chicago, IL, USA; Mountain View, CA, USA; Boulder, CO, USA

More information at:

We are the planet’s #1 accommodation site. Our diverse team, 11,000 strong, is united by a single mission: to help travelers, whatever their budgets, easily discover, book, and enjoy the world’s best places to stay. Our customers book nearly a million trips on our website every day, and the Amsterdam based Data Science team works hard to give them the best possible experience. They focus on anything from understanding and predicting market data, to ranking all properties on our website and providing customers with the most relevant personalized recommendations and much more.

More information at:

Based in Hong Kong and Shenzhen, the Noah’s Ark Lab is a research lab of Huawei Technologies. The mission of the lab is to conduct cutting-edge research by exploring theories and building systems. Our lab is specialized in research on machine learning, data mining, speech and language processing, information and knowledge management, and intelligent systems. We are hiring researchers in the related areas at all levels, including junior and senior positions. The researchers in the lab will conduct academic and applied research, advance state-of-the-art in related fields, collaboratively develop advanced products and services with other groups in the company, as well as build the lab into a world’s top research center.

  • Researcher, Hong Kong and Shenzhen, China
  • Engineer, Hong Kong and Shenzhen, China
  • Intern, Hong Kong

More information at:


Cylance is one of the fastest growing companies in the history of cybersecurity. By successfully applying artificial intelligence and machine learning to crack the DNA of malware, Cylance has redefined the endpoint protection market, garnered acclaim from industry analysts and won numerous awards including “Best Emerging Vendor” from SC Magazine. If you have the passion and desire to disrupt industries, protect the world from cyberattacks, and be at the forefront of a revolutionary new technology, we want you to join us!

1. Data Scientist - - Irvine, California

2. Data Visualization Engineer - - Irvine, California

3 Data Engineer - Irvine, California,

More information at: