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: Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of Computer Science or similar. Degree must be completed prior to joining Meta. Effective programming skills. Solid background on the foundations of reinforcement learning. Experience in working on complex machine learning code bases at scale. Experience collaborating within a research team to solve complex problems. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CoRL, ICRA, AAAI, AAMAS or similar) Demonstrated machine learning experience in one of the following: internship, open-source activity, data science competitions Experience in creating high-performance implementations in deep learning frameworks (such as pytorch, tensorflow), C, C++, Python. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward. Experience working and communicating cross functionally in a team environment. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. #J-18808-Ljbffr