Application Deadline: January 28th 2019
The Google AI Residency Program was created in 2015 with the goal of training and supporting the next generation of deep learning researchers. With machine learning fast becoming a critical area for a broad range of applications, we recognized the need to evolve our research goals and expand beyond deep learning to include a breadth of machine learning subfields. People from a wide range of disciplines are beginning to realize the importance and impact of this area of research. With growing interest in the field, there is a corresponding need for researchers with hands-on experience in machine learning techniques and methodologies.
Residents will have the opportunity to be mentored by distinguished scientists and engineers from various teams within Google AI, and work on real-world machine learning problems and applications. In addition, they will also have the opportunity to collaborate and partner closely with various research groups across Google and Alphabet.
The Google AI Residency Program is primarily based in Mountain View, California. Residents will also have the opportunity to be based in New York, Cambridge (Massachusetts), Seattle (Washington), Montreal, Toronto, Zurich (Switzerland), Accra (Ghana) and Tel Aviv (Israel) depending on project fit and availability. Your recruiter will work with you to determine the best location for your work, though please also let them know if you have a location preference.
- Ideal candidate either has a degree (BS, MS or PhD) or equivalent experience in STEM field such as CS, Math or Statistics.
- Having said that, we highly encourage candidates with non-traditional backgrounds and experiences from all over the world to apply to our program.
- Most importantly we are looking for individuals who are motivated to learn and have a strong interest and passion for machine learning research.
Google AI Residents will spend the first two weeks of the program going through the Google Orientation sessions interlaced with introductory machine learning and deep learning classes. Each resident will then be assigned a short project to be completed within a week, during which longer term project and mentor assignments will take place in tandem.
The residency program is similar to spending a year in a Master’s or PhD program in machine learning. Residents are expected to read papers, work on research projects, and encouraged to publish in top-tier venues. By the end of the program, residents are expected to gain significant research experience in machine learning.
Applications are open from October 9, 2018 to January 28, 2019, but we encourage you to submit your application as soon as possible. Visit g.co/airesidency/apply to apply.
Interviews (phone, video and/or onsite) will begin in November on a rolling basis until all positions are filled.
We are proposing multiple start dates over the course of 5 months (June to October) in 2019. Exact dates are yet to be finalized.
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