Postdoctoral Researcher, Reinforcement Learning (PhD) - Paris

Meta is seeking a Postdoctoral Researcher to join a reinforcement learning team at FAIR, our world-class research lab. We are seeking individuals to work with our reinforcement learning team to build novel algorithms grounded in solid principles that can scale to efficiently solve complex real-world problems. Our research spans different aspects of reinforcement learning with particular focus on unsup/self-supervised RL to build behavioral foundation models. The candidate should have a solid background in machine learning and reinforcement learning, with experience in building and managing complex reinforcement learning pipelines at scale.Postdoctoral Researcher, Reinforcement Learning (PhD) - Paris Responsibilities:Collaborate with the research supervisor and the team to devise novel behavioral foundation models that enable agents to solve a wide range of problems with little to no retraining.Design and implement algorithms, train state of the art models on large data, and evaluate their performance.Share research advancements through publications, libraries, models, or demos.Minimum Qualifications:

Meta is seeking a Postdoctoral Researcher to join a reinforcement learning team at FAIR, our world-class research lab. We are seeking individuals to work with our reinforcement learning team to build novel algorithms grounded in solid principles that can scale to efficiently solve complex real-world problems. Our research spans different aspects of reinforcement learning with particular focus on unsup/self-supervised RL to build behavioral foundation models. The candidate should have a solid background in machine learning and reinforcement learning, with experience in building and managing complex reinforcement learning pipelines at scale.Postdoctoral Researcher, Reinforcement Learning (PhD) - Paris Responsibilities:

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