Meta is seeking Research Scientists to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in AI. We are looking for exceptional candidates in the field of reinforcement learning.

　　AI Research Scientist - Reinforcement Learning (Paris) Responsibilities:

　　Conduct and publish world-class research articles on fundamental research on AIOpen-sourcing high quality code and reproducible results for the communityMentoring junior scientists, including our interns, PhDs and postdocsMinimum Qualifications:

　　PhD in mathematics, statistics, physics, or computer scienceDeep knowledge about the state-of-the-art (theory and practice) in reinforcement learningProficiency in coding, executing, and evaluating experiments in PyTorchPreferred Qualifications:

　　Publications in venues such as NeurIPS, ICML, ICLR, COLT, AI&Stats, and JMLRAbout 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.