The AWS Machine Learning Research Awards program funds university departments, faculty, PhD students, and post-docs that are conducting novel research in machine learning (ML).

Our goal is to accelerate the development of innovative algorithms, publications, and source code across a wide variety of ML applications and focus areas. Selected projects receive unrestricted cash gifts and AWS credits that can be redeemed towards any of our cloud services. Recipients also benefit from training resources and have the opportunity to attend an annual research seminar at our headquarters in Seattle.

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

Awards include AWS credits that can be redeemed towards any service, including Amazon SageMaker and the Amazon EC2 P3 instance type.

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 at AWS headquarters in Seattle where they can discuss their work and interact with Amazon scientists.

AWS offers powerful infrastructure and services to accelerate research in machine learning. Amazon SageMaker is a fully-managed end-to-end machine learning service that enables researchers to quickly and easily build, train, and deploy models at any scale, removing barriers that typically slow the process. The Amazon EC2 P3 instance type is optimized for machine learning and delivers tremendous gains in training time and throughput by using the cutting-edge performance of NVIDIA Tesla V100 GPUs.


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

For information on how to apply, please contact us at