We do research on world models, reasoning, planning, memory, at scale. In particular, we aim at hard benchmarks in code generation, leveraging execution feedback. We are looking for a tech lead for significant engineering and research features to serve research needs across FAIR, and other organizations.
Research Engineer Responsibilities:
- Tech lead a state of the art research codebase on large language models, world models, reinforcement learning
- Full-stack development from integrating with kernel specialists to research trainings at scale
- Cross-org leadership (e.g. PyTorch)
- PhD in CS, Math, or AI
- Advanced knowledge of PyTorch
- knowledge of AI research codebases and workflows
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- Expertise implementing CUDA or Triton kernels
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.