Get to know the Amazon research community at ACL 2018!
Amazon’s research teams are looking forward to meeting you at ACL 2018. Come and visit us at the Amazon booth, and read on for more information about academic collaboration, career opportunities, and our teams.
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 ACL2018@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 ACL2018@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 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.
Publications and Talks at ACL
- Philip Schulz, Wilker Aziz and Trevor Cohn: A Stochastic Decoder for Neural Machine Translation
- Wilker Aziz and Philip Schulz: Variational Inference and Deep Generative Models (tutorial)
- Tobias Domhan, How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures
- Young-Bum Kim, Dongchan Kim, Anjishnu Kumar, and Ruhi Sarikaya, Efficient Large-Scale Domain Classification with Personalized Attention - Oral
- Rakshit Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha: LinkNBed: Multi-Graph Representation Learning with Entity Linkage
Questions about career opportunities or academic partnerships? Contact us at ACL2018@amazon.com.
Meet Amazonians working in NLP
Natural Language Processing at Amazon
"I spoke to the future and it listened" - Gizmodo
Meet the team of world-class scientists behind Alexa.
Graduate Research Careers
Learn more about graduate research careers for PhD and Masters students.
Amazon Lex - Quickly Build Conversational Interfaces
With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer.
Learn more about Amazon Polly
Amazon Polly is a service that turns text into lifelike speech, making it easy to add voice to your website, mobile app, or device.
Introducing the Alexa Prize
The Alexa Prize is an annual competition for university students dedicated to accelerating the field of conversational AI.
2017 Alexa Prize Finals
Learn more about the Alexa Prize: https://developer.amazon.com/alexaprize