Get to know the Amazon research community at KDD 2018!
Amazon’s research teams are looking forward to meeting you at KDD 2018. Come and visit us at the Amazon booth, and read on for more information about Amazonian involvement at KDD, academic collaboration, career opportunities, and our teams.
Applied Data Science Invited Talks
- Alex Smola (Amazon) & Edo Liberty (Amazon)
- Xin Luna Dong (Amazon)
- Oral (Research Track): "SpotLight: Detecting Anomalies in Streaming Graphs" | Authors: Dhivya Eswaran (CMU and Amazon intern), Christos Faloutsos (Amazon and CMU), Sudipto Guha (Amazon), Nina Mishra (Amazon)
- Oral (Applied Data Science Track): "Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project" | Authors: Tom Diethe (Amazon), Mike Holmes (University of Bristol), Meelis Kull (University of Tartu), Miquel Perello Nieto (University of Bristol), Kacper Sokol (University of Bristol), Hao Song (University of Bristol), Emma Tonkin (University of Bristol), Niall Twomey (University of Bristol), Peter Flach (University of Bristol)
- Oral (Applied Data Science Track): "OpenTag: Open Attribute Value Extraction from Product Profiles" | Authors: Guineng Zheng (University of Utah), Subhabrata Mukherjee (Amazon), Xin Luna Dong (Amazon), Feifei Li (University of Utah)
- Poster (Applied Data Science Track): "Buy It Again: Modeling Repeat Purchase Recommendations" | Authors: Rahul Bhagat (Amazon), Srevatsan Muralidharan (Amazon), Alex Lobzhanidze (Amazon), Shankar Vishwanath (Amazon)
- Deep Learning and Natural Language Processing with Apache MxNet Gluon
- Instructors: Alex Smola (Amazon), Leonard Lausen (Amazon, HKUST), Haibin Lin (Amazon)
- Graph and Tensor Mining for Fun and Profit
- Instructors: Xin Luna Dong (Amazon), Christos Faloutsos (Amazon and CMU), Andrey Kan (Amazon), Subhbrata Mukherjee (Amazon), and Jun Ma (Amazon)
- Fact Checking: theory and practice
- Instructors: Xin Luna Dong (Amazon), Christos Faloutsos (Amazon and CMU), Xian Li (Amazon), Subhabrata Mukherjee (Amazon), Prashant Shiralkar (Amazon)
- Graph Sketching, Sampling, Streaming, and Space-Efficient Optimization
- Instructors: Sudipto Guha (Amazon) and Andrew McGregor (UMass Amherst)
- Interactive Data Exploration and Analytics
- Organizers: Jefrey Lijffijt (Ghent University), Minsuk Kahng (Georgia Tech), Remco Chang (Tufts University), Polo Chao (Tufts University), Dafna Shahaf (The Hebrew University of Jerusalem), Christos Faloutsos (Amazon and CMU)
- Program Committee Member: George Forman (Amazon)
- Mining and Learning from Time Series
- Contributed Talk: "Sample Path Generation for Probabilistic Demand Forecasting" | Presenters: Dhruv Madeka (Amazon), Lucas Swiniarski (NYU), Dean Foster (Amazon), Leonid Razoumov (Amazon), Ruofeng Wen (Amazon), Kari Torkkola (Amazon)
- AdKDD & TargetAd
- Organizers: Abraham Bagherjeiran (Amazon), Nemanja Djuric (Uber), Mihajlo Grbovic (Airbnb), Kuang-Chih Lee (Alibaba), Kun Liu (Amazon), Vladan Radosavljevic (OLX, Naspers), Suju Rajan (Criteo)
- AI for Fashion
- Vikas C. Raykar (IBM), Raghavendra Singh (IBM), Ayushi Dalmia (IBM), Urs Bergmann (Zalando), Nikolay Jetchev (Zalando), Sumit Borar (Myntra), Soo-Min Pantel (Amazon), Julian McAuley (UC San Diego)
- International Workshop on Mining and Learning with Graphs
- Keynote Speakers include: Xin Luna Dong (Amazon) and Christos Faloutsos (Amazon and CMU)
- "GraphRAD: A Graph-based Risky Account Detection System" | Authors: Jun Ma (Amazon), Danqing Zhang (UC Berkeley), Yun Wang (Amazon), Yan Zhang (Amazon), Alexey Pozdnoukhov (UC Berleley)
Internships for PhD Students
We offer internships year-round, with opportunities in Aachen, Atlanta, Austin, Bangalore, Barcelona, Berlin, Boston, Cambridge, Cupertino, Graz, Haifa, Herzliya, Manhattan Beach, New York, Palo Alto, Pasadena, Pittsburgh, San Francisco, Seattle, Sunnyvale, Tel Aviv, Tübingen, Turin, and Vancouver. To apply, email your resume to KDD2018@amazon.com, and let us know if there are any specific locations, teams, or research leaders that you are interested in working with.
Job Opportunities for Graduating Students and Experienced Researchers
We are looking for results-driven individuals who can apply advanced machine learning techniques, love to work with data, are deeply technical, and highly innovative. If you long for the opportunity to invent and build solutions to challenging problems that directly impact the way Amazon transforms the consumer experience, we are the place for you. Apply to one of the job postings below or send your resume directly to KDD2018@amazon.com.
Publishing at Amazon
Amazon is committed to innovating at the frontiers of machine learning and artificial intelligence. Our scientists are encouraged to engage in the research community in the form of written publications, open source code and public datasets. We have instituted a new, fast-track publication approval process, to help share our research efforts as quickly as possible, while maintaining the highest standards of quality.
Amazon Web Services (AWS) Research Grants
In partnership with Machine Learning@Amazon, AWS offers up to $20,000 in compute tokens each quarter to professors and students. Academics have used these grants for projects ranging from Hack End weekends to massive MRI imaging projects. AWS provides building blocks for developing applications ranging from Elastic MapReduce for Hadoop analytics to fast and scalable storage with Amazon DynamoDB. Learn more & apply here.
Amazon Research Awards
ARA is an unrestricted gift to recognize exceptional faculty, and fund projects leading toward a PhD degree or conducted as a part of post-doctoral work. Each selected proposal is assigned an Amazon research contact, as we believe that both sides benefit from direct interaction on the topic of their research. We invite ARA recipients to visit Amazon offices worldwide to give talks related to their work and meet with our research groups face-to-face. We encourage ARA recipients to publish the outcome of the project and commit any related code to open source code repositories. Learn more here.
The Alexa Prize is an annual competition for university students dedicated to accelerating the field of conversational AI. Learn more at alexaprize.com.
Amazon Scholars is a new program for academic leaders to work with Amazon in a flexible capacity, ranging from part-time to full-time research roles. Learn more at amazon.jobs/scholars.
Diversity at Amazon
We are a company of builders working on behalf of a global customer base. Diversity is core to our leadership principles, as we seek diverse perspectives so that we can be “Right, A Lot”. We welcome people from all backgrounds and perspectives to innovate with us. Learn more at amazon.com/diversity.
Amazon is an Equal Opportunity Employer.
Meet a few leaders in our research community
Learn more about Amazon's research teams:
Graduate Research Careers
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