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 core learning, with a focus on the intersections between out-of-distribution generalization and large language models.In particular, we are looking for a researcher interested in investigating the role of associative/non-parametric memory for improving the efficiency and generalization abilities of LLMs.
AI Research Scientist - Core Learning (Paris) Responsibilities:
- Conduct and publish world-class research articles on fundamental research on AI
- Open-sourcing high quality code and reproducible results for the community
- Mentoring junior scientists, including our interns, PhDs and postdocs
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- PhD in mathematics, statistics, physics, or computer science
- Deep knowledge about the state-of-the-art (theory and practice) in ML and AI
- Proficiency in coding, executing, and evaluating large scale experiments in PyTorch
- Organizational, team, community, and public skills
- Publications in venues such as NeurIPS, ICML, ICLR, and JMLR
- Open-source code repositories
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.