The AWS Machine Learning Research Awards (MLRA) program funds eligible universities, faculty, PhD students and post-docs under the supervision of faculty, that are conducting novel research in machine learning (ML).

Our goal is to enable research that accelerates the development of innovative algorithms, publications, and source code across a wide variety of ML applications and focus areas. Selected applicants will receive awards that include unrestricted cash funding as well as AWS Promotional Credits. Access and use of AWS Promotional Credits will be subject to AWS Promotional Credit Terms and Conditions located at The final award amount will be determined by the awards panel.

Award recipients will receive an invitation to attend an annual research seminar and may receive live one-on-one training sessions with Amazon scientists and engineers.

Awards are distributed at the department and project level, and are structured as one-time unrestricted gifts to academic institutions.

Awards include AWS Promotional Credits that can be redeemed towards eligible AWS Services.

We provide universities with training resources, including tutorials on how to run machine learning on AWS and hands-on sessions with Amazon scientists and engineers.

Award recipients will be invited to a research seminar where they can discuss the progress of their work and interact with other award recipients and Amazon scientists.


The capabilities students have available to them at their fingertips today via the AWS Cloud are amazing, and it’s great that a sophisticated framework tool such as Apache MXNet is available. The opportunity to have the next generation of machine learning practitioners and researchers make the most from these tools is exciting, and is uniquely enabled through this funding program. We can’t wait to get started.

Andrew Moore, Dean of the School of Computer Science

At Caltech we’ve been investing heavily in creating opportunities for our students to interact with and learn about the latest innovations like machine learning. The partnership with AWS will help us continue to make these investments, which we believe could lead to many future breakthroughs.

Adam Wierman, Professor and Executive Officer of Computing and Mathematical Sciences

In order to apply applicants should contact us at the below email address and request an application. Please note that as part of your application you must include your name, association with a university, a proposal summary detailing how your work will contribute or advance ML research, and requested award amount. Applicants submitted by or on behalf of a university, faculty, or a university department may be required to complete a conflicts check and certification of eligibility as part of their application in order to receive the award. Incomplete applications may not be considered.

For more information or to receive an application please contact us at