SHARE

Deadline: January 8, 2018 00:00 (CET)
[Oops, the opportunity has already expired. Sign up to AlphaGamma weekly newsletters to stay ahead of the game] | Apply here
Eligibility: BA/BS degree in a STEM field such as Computer Science, Mathematics or Statistics, or equivalent practical experience. Completed coursework in calculus, linear algebra, and probability, or their equivalent. Experience with one or more general purpose programming languages, including but not limited to: C/C++ or Python. Experience with machine learning or deep learning, applications of machine learning to NLP, computer vision, speech, systems, robotics, algorithms, optimization, on-device learning, social networks, economics, information retrieval, journalism, or health care.
Location: New York and Cambridge (Massachusetts), The United States, Montreal and Toronto, Canada

Google AI Residency Program 2018

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.

The Google Brain Residency Program was created in 2015, and now is being expanded 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. The Residents are encouraged to publish their work externally.

Google is 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. Candidates from all over the world are encouraged 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.

Responsibilities

  • Learn and understand a large body of research in deep learning and/or machine learning algorithms.
  • Work with research mentors to formulate research project(s) and/or novel application(s) of machine learning.
  • Conduct research and publish it in competitive venues.
  • Implement algorithms in TensorFlow.

Minimum qualifications

  • BA/BS degree in a STEM field such as Computer Science, Mathematics or Statistics, or equivalent practical experience.
    Completed coursework in calculus, linear algebra, and probability, or their equivalent
  • Experience with one or more general purpose programming languages, including but not limited to: C/C++ or Python
  • Experience with machine learning or deep learning, applications of machine learning to NLP, computer vision, speech, systems, robotics, algorithms, optimization, on-device learning, social networks, economics, information retrieval, journalism, or health care.

Preferred qualifications

  • Research experience in machine learning or deep learning (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 opportunities, check our opportunities sections and subscribe to our weekly newsletters.