Amazon’s research teams are looking forward to meeting you at RecSys 2020. Come and visit us at the virtual Amazon booth on WHOVA, and read on for more information about academic collaboration, career opportunities, and our teams.

Amazon has the following affiliations, engagements, and publications at RecSys 2020:

• Sponsor Co-Chair: Tao Ye

• Senior Program Committee: Tao Ye

• Program Committee: Max Harper, Chenwei Zhang

• Best Paper Committee (Short Papers): Tao Ye

Workshops:

• Industry Talk: Behavior-based Popularity Ranking on Amazon Video, Lakshmi Ramachandran, Applied Scientist, Amazon Search

• Workshop on Bandit and Reinforcement Learning from User Interactions, Saturday, September 26/ Thorsten Joachims, Amazon Scholar: Organizer

• Impact of Recommender Systems. Madhu Kurup (Director of Applied Science, Personalization) will partake in a panel with industry experts discussing long-term and indirect value of recsys. Event: September 25th (Check RecSys program for final details).

Amazon@RecSys 2020!

• Amazon is the name sponsor for the Women in Recsys virtual social on Gather-check the final program for details of the event
• RecSys attendees join Amazon on Wednesday, September 23rd at 10:30am Pacific Time for a live panel with Amazon Scientists. RSVP HERE (Zoom information to attend the Amazon Expo can be found on the RecSys program).

Internships for PhD Students

We offer internships year-round, with opportunities in Seattle, San Francisco, Sunnyvale, Palo Alto, Cupertino, New York, Boston, Pittsburgh, Cambridge (UK) and Aachen and Berlin (DE). To apply, email your resume to recsysconf@amazon.com or apply to one of the postings below.

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 build solutions to challenging problems that directly impact the way Amazon transforms the consumer experience, we are the place for you. To apply, email your resume to recsysconf@amazon.com or apply to one of the postings below.
 
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.

Amazon Scholars

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.

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.

Questions about career opportunities or academic partnerships? Contact us at recsysconf@amazon.com. 

For more information about Amazon Science