Applications are currently closed for this role. Applications for 2018 program will open September, 2017.
The Google Brain Residency Program is a 12-month role designed to jump-start your career in deep learning. Residents will work with distinguished scientists from the Google 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 top tier 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.
We are looking for two different types of applicants for the residency program; those who already have substantial experience doing scientific or mathematical research in industry or academia in a field other than deep learning, and those who only have limited research experience, but are looking for an opportunity to learn. The goal is to train residents to do research in machine learning and deep learning, so regardless of background, applicants should be passionate about the science of machine learning. Participants have diverse backgrounds with a wide range of education and experience -- 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 should possess a strong interest in the field, a commitment to detail, and a passion for deep learning. Applicants can demonstrate these qualities in many ways, but some examples include links to publications, blog posts, or implementations of one or more (even slightly) novel learning algorithms, along with an explanation of what is interesting about an algorithm and its performance.
The Google Brain Residency Program is based in Mountain View, California and residents are expected to work on-site.
- We are accepting applications until January 13, 2017
- Interviews (phone, video, and/or on-site in Mountain View) will primarily take place from February to March 201
- Application results will be finalized by April 2017
- The program starts in July 2017 and runs for 12 months
Candidates will be asked to provide the following information with their applications. If you'd like to submit additional materials after applying, please do so at the following link: https://services.google.com/fb/forms/brainresidency/. We recommend gathering these materials in advance as this will greatly help you with your application.
- Current CV
- Cover letter including a statement on why you think you'd be great for the Google Brain Residency Program
- Transcripts from your most recent degree
- Letter of recommendation (minimum of one letter) - Letters may be sent directly to firstname.lastname@example.org
- Links to GitHub, papers and/or blogs if applicable
- Understand a large body of research in deep learning quickly.
- Work with your research mentors to formulate research project(s) and/or novel application(s) of the technology.
- Conduct research and publish it in competitive venues.
- Implement algorithms in TensorFlow.
- BS degree or equivalent practical experience in a STEM field such as Computer Science, Mathematics, or Statistics.
- Completed coursework in calculus, linear algebra, and probability, or their equivalent.
- Experience coding in C/C++ and/or Python.
- Eligible to work in the United States.
- MS degree or Ph.D in relevant fields and/or post graduate or industry experience.
- Research experience in Machine Learning and Neural Networks (e.g. links to open-source work or link to novel learning algorithms).
- Strong open-source project experience that demonstrates programming, mathematical, and machine learning abilities and interest.
For more information please click "Further Official Information" below.
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