Research Scientist, Reinforcement Learning

<p><em>At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.</em></p> <h2><strong>Snapshot</strong></h2> <p>We're looking for talented Research Scientists to push forward fundamental research and technology in Artificial Intelligence, as part of our interdisciplinary and collaborative Reinforcement Learning team.</p> <h2><strong>About Us</strong></h2> <p>DeepMind’s RL team is a long-standing and tight-knit team of collaborative scientists and engineers, led by Tom Schaul. We tackle large scale research challenges in reinforcement learning. We design, refine, and scale RL algorithms and deliver meaningful scientific or product impact. Over the past decade, members of the RL team have been instrumental in building DQN, AlphaGo, Rainbow, AlphaZero, MuZero, AlphaStar, AlphaProof and Gemini. Join us to build the next big thing!</p> <h2><strong>The Role</strong></h2> <p>As a Research Scientist, you'll use machine learning knowledge and technical know-how to innovate, drive research projects, as well as apply research to impactful problems. You will be expected to implement code, run experiments, own results end-to-end, communicate them internally or externally, as well as collaborate with and empower others.</p> <h3><strong>Your work may involve:</strong></h3> <ul> <li>Initiating or pursuing novel research directions, by proposing and testing research hypotheses.</li> <li>Implementing algorithm ideas and run end-to-end experim