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AI Research Scientist, Physical AI

Meta· Artificial Intelligence
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Menlo Park, CA$184k - $257kFull-timePosted 2mo ago

About the role

Meta’s Fundamental AI Research lab seeks a Research Scientist to drive foundational research advancing physical AI capabilities, including engineering designs such as robotic hardware, vehicles, and novel semiconductors, with a focus on heavy software research engineering, large-scale data manipulation, and simulator integration.

Responsibilities

  • Explore and develop novel post-training paradigms for LLMs using reinforcement learning
  • Explore and develop novel LLM post-training recipes using 3D data
  • Integrate large-scale simulation into LLM post-training
  • Explore mechanical, aerospace, civil, and other engineering disciplines and how to enable LLMs to solve key problems in these domains

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Currently has or is in the process of obtaining a PhD degree in Artificial Intelligence, Physical AI, Computer Vision (3D), Machine Learning, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Research experience in at least one of the following research areas: physical AI, simulation, reinforcement learning, representation learning, self-supervised learning, multimodal learning, robotics policy development, computer vision (3D), egocentric perception, embodied AI and/or LLMs, control theory, optimization algorithms
  • Experience in C/C++ and Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Skills

Required:Post-training paradigms for LLMs3D data for LLM post-trainingLarge-scale simulation integration
Nice to have:Multidisciplinary engineering awareness

Benefits

  • benefits information referenced in posting (see benefits link)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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