The Google Brain Residency Program is a 12-month role designed to jump-start your career in deep learning. Residents will work with scientists from theGoogle Brain Team. The goal of the residency program is to help residents become productive and successful deep learning researchers.

The residency program is similar to spending a year in a Master's or Ph.D. program in deep learning. Residents are expected to read papers, work on research projects, and publish their work in competitive venues. By the end of the program, residents are expected to gain significant research experience in deep learning.

The environment in the Google Brain Team is uniquely conducive to outstanding deep learning research: world-class large-scale infrastructure for training deep neural networks, large data sets in a wide variety of domains, and a high concentration of strong deep learning scientists. It is an environment where pure research and important applications reinforce and support each other in a virtuous cycle. To get a taste for their work, please see the Google Brain publications list.

Participants come from a wide variety of backgrounds, experiences, and educations and we encourage candidates from all over the world to apply. Current students would need to graduate before the residency begins. Your application should show evidence of proficiency in programming and in the prerequisite courses in the form of a transcript, letters of recommendation, notable performance in competitions, or links to an open-source project that demonstrates programming and mathematical ability.

In addition to the items listed above, candidates would possess a strong interest in the field, a commitment to detail, and a passion for deep learning. Examples include a link to a publication, a blog post, or an implementation of a (even slightly) novel learning algorithm, with an explanation of what is interesting about the algorithm and its performance.

The Google Brain Residency Program is based in Mountain View, California and residents are expected to work on-site.

Application Timeline:

Application Details: Candidates will be asked to provide the following information with their applications. We recommend gathering these materials in advance as this will greatly help you with your application.