Posted on :
3 Oct, 2017
3 Oct, 2017
The Google AI Residency Program (formerly known as the Google Brain Residency Program) is a 12-month role designed to advance your career in machine learning research. Residents will work alongside distinguished scientists from various Research teams. The goal of the residency is to help residents become productive and successful AI researchers.
We created the Google Brain Residency Program in 2015, and we are now expanding it into a broader program that involves not just the Google Brain team, but a broader group of research teams doing machine learning research. Residents will have the opportunity to do everything from conducting fundamental research to contributing to products and services used by millions of people. We encourage our Residents to publish their work externally.
We are looking for people who want to learn to conduct machine learning research in collaboration with our researchers. You may have research experience in another field (e.g., mathematics, physics, bioinformatics, etc.) and want to apply machine learning to this area, or you may have limited research experience but, a desire to do more. Of course having machine learning research experience is great.
Current students will need to graduate from their current degree program before the residency begins. We encourage candidates from all over the world to apply. If a candidate requires a work visa, Google will explore what options are available on a case by case basis.
The Google AI Residency Program is primarily based in the Bay Area and is expanding to new locations in 2018. Depending on resident interests, project fit, and team needs, accepted residents may be based in locations outside of the Bay Area, including New York; Cambridge (Massachusetts); Montreal; and Toronto. Residents are expected to work on site.
To apply, please read all instructions below and submit the following required materials:
Your application should show evidence of proficiency in programming and in prerequisite courses, notable performance in competitions, or links to an open-source project that demonstrates programming and mathematical ability. Your application should present an interest in the field. This can be demonstrated through links to publications and blog posts, or implementations of one or more (even slightly) learning algorithms, including an explanation for what makes it novel.
Prepare the following documents to complete your application:
Click on the “Apply Now” button on this page to provide the above-required materials in the appropriate sections (PDFs preferred):
Note: We will ask you to provide a Letter of Recommendation once you have passed an initial review. If so, please have your recommenders submit their letter to [email protected].
Note: This job description is subject to change.
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