Value of Award: All residents will be paid a competitive base salary and bonus. These are the Resident papers that were accepted to ICML this year. In this blog post I'll describe what the residency was like, what I worked on while here, and what I'm doing next. Learn and understand a large body of research in machine learning algorithms. Residents are expected to read papers, work on research projects, and encouraged to publish in top-tier venues. BSc, MSc, and PhD graduates with substantial coursework in, but not limited to: computer science, electrical engineering, data science, mathematics, physics, economics, human-computer interaction, and computational biology. Our Residents bring a diverse range of backgrounds and experiences from all over the world. As global AI development and deployment continues, the demand for AI talents is growing faster than ever. Experience with machine learning techniques or deep learning frameworks is desirable. We establish geometric and topological properties of the space of value functions in finite state-action Markov decision processes. The Google AI Residency Program is primarily based in Mountain View, California. Residents also have the opportunity to collaborate and partner closely with various research groups across Google and Alphabet. The residency program is similar to spending a year in a Master's or PhD program in machine learning. Implement algorithms, experiments and/or human-computer interfaces using frameworks such as TensorFlow. You may propose your own project ideas as well. 59 votes, 410 comments. If you need to relocate for the residency, Google will also provide a relocation bonus to assist you in the move to the Bay Area (or other location, if needed). The Google AI Residency Program is a 18-month research training role designed to jumpstart or advance your career in machine learning research. In the “Education Section:” attach a current unofficial or official transcript in English. A Radical New Neural Network Design Could Overcome Big Challenges in AI, Top 10 Surprisingly Endangered Jobs from AI, Using Generative Adversarial Networks (GANs) for Data Augmentation in Colorectal Images, AI Can Help Working Women Become Better Negotiators, Investing in AI: When natural language processing pays off, Duration: 4 months full-time; February 3, 2020 — June 5, 2020. Residents will also have the opportunity to be based in New York, Cambridge (Massachusetts), Seattle (Washington), Montreal, Toronto, Zurich (Switzerland), Berlin (Germany), Accra (Ghana) and Tel Aviv (Israel) depending on project fit and availability. 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. These present an excellent opportunity for young people interested in AI to gain valuable work experience and even make some pocket money. Previously, tech leaders Uber and NVIDIA also offered year-long AI residency programs, but any programs for 2020 have yet to be announced. Project and mentor assignment will take place shortly after your residency begins. By drawing on Google's state-of-the-art resources and research experience, we provide Residents in the program the skills that will enable them to tackle some of the world's greatest machine learning challenges. 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. Ability to collaborate and communicate across multiple teams (in a multi-disciplinary environment), Passion for the field of Machine Learning Research. Experience with coding in Python, C/C++, or Java. They believe that in addition to hiring the best talent, a diversity of perspectives, ideas and cultures leads to the creation of better products and services. The residency program is similar to spending a year in a Master’s or PhD program in machine learning. The goal of the residency is to help residents become productive and successful AI researchers. Facebook also encourage collaborations beyond the assigned mentors. Enthusiasm to move into the field is essential. Such success failure rewards are often underspecified: they do not distinguish between purposeful and accidental... Rishabh Agarwal, Chen Liang, Dale Schuurmans, Mohammad Norouzi, Proceedings of the 36th International Conference on Machine Learning, PMLR, Long Beach, California, USA (2019), pp. Google AI Residency Programme Eligibility, The research teams are looking for coding abilities in either Python or C++ and e, xposure to machine learning or deep learning; or 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. 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The Google AI Residency Program is a 12-month research training role designed to jumpstart or advance your career in machine learning research.