FAQ

Q: Who is eligible?

Full-time faculty members and university departments leading a team of students and postdoctoral researchers at educational institutions in North America and Europe which are conducting innovative research related to Machine Learning are eligible to apply. Awards provided to faculty or university institutions will support the researchers identified in the application conducting research under the guidance of this principal investigator (PI). For interested applicants located outside of North America and Europe, please contact us to determine eligibility.

Q: How much funding will be awarded?

The amount awarded is at the discretion of the MLRA awards panel and may be based on the number of applicants and number of awards granted during an award cycle. Awards are structured as one-year unrestricted gifts to academic institutions and can include funding and AWS Promotional Credits. Though the funding is not extendable, applicants can submit new proposals for subsequent calls for proposals.

Q: How often are awards granted?

We accept applications on a rolling basis and will make announcements after the end of each quarter of the calendar year.

Q: Is it possible to have multiple faculty members on a single proposal?

Yes. We welcome proposals from a team of faculty members including faculty at separate institutions. All members of the research team can and should be mentioned in the proposal. If faculty from separate institutions will be applying, please designate the proposed funding breakdown per institution.

Q: Does Amazon accept any legal obligation with respect to submitted proposals?

We are happy to review non-confidential project proposals. As such, project proposals shall not contain any confidential information (please do not include any information in your proposal that you or others consider confidential). Amazon does not accept any legal obligation (whether of confidentiality, compensation, return or otherwise) with respect to any proposals. Amazon reserves the right to implement similar ideas in the future without restriction or obligation.

Q: Who will evaluate the proposals and when will I know the outcome of the review?

Project proposals are reviewed by an MLRA awards panel and the results are communicated approximately three months after submission deadlines. We will communicate the decision to the primary Principal Investigator listed on each proposal, and may make an announcement on the MLRA website. We expect the primary PI to notify the rest of their team about funding decisions.

Q: Do recipients have access to Amazon data?

Recipients will have access to Amazon datasets that are already public, such as the Amazon Bin Image Dataset, but not to non-public data.

Q: What do I need to do in order to use the AWS Promotional Credits?

You will be required to provide a valid credit card to activate an AWS account and redeem any AWS Credits. Subject to the AWS Promotional Credit Terms, your credit card will not be charged for use of Eligible Services until you exceed available Credits. Please be aware that some services are not eligible for Credit redemption and you will be billed for any use of these Ineligible Services.

Q: How is this program different from Amazon Research Awards (ARA)?

Unlike ARA, MLRA funds:
- Projects that require significant computing resources
- Projects that include research staff, multiple faculty members, and multiple academic institutions
- All machine learning topics, including ones not covered by ARA

ARA funds one-year research projects conducted primarily by post-docs and PhD students under the supervision of a faculty member. To learn more about ARA, see: https://ara.amazon-ml.com

Q: Are there any preferred research areas?

We seek to fund a diverse set of projects across many ML areas and domains. Research areas of interest include ML advancements in computer vision, robotics, life sciences, language, speech, problem-solving, reasoning, and decision-making.

Q: Are there terms to promotional credit usage?

Access and use of AWS Promotional Credits will be subject to AWS Promotional Credit Terms and Conditions.

Apply

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.