Postdoctoral Researcher (PhD) - Core Learning

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Postdoctoral Researcher (PhD) - Core Learning
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Paris, France
Meta is seeking a postdoctoral researcher to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in out-of-distribution generalization of foundation models. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community. Recent examples include the LLaMa family of Large Language Models (LLMs) and tool-augmented language models. We seek experts in the area of out-of-distribution generalization to help understand the generalization capabilities of modern AI systems and build new architectures and frameworks that achieve the next frontier of generalization. We also collaborate with the Meta Generative AI and other organizations to push the insights at scale.
Postdoctoral Researcher (PhD) - Core Learning Responsibilities
  • Conduct research at the interface of LLMs and OOD generalization
  • Disseminate findings of research by publishing papers in high impact conferences
  • Hands-on research work, both theoretical and experimental
Minimum Qualifications
  • PhD degree in Computer Science, Computer Engineering, Applied Sciences, Mathematics, Physics
  • Python, PyTorch
  • Track record of publishing papers in high quality journal and conferences
  • Some publications in high quality journal and conferences
  • Mathematical command of learning theory
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.
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