AI Research Scientist, Physical AI
Meta's Fundamental AI Research lab is seeking a Research Scientist to drive foundational research aimed at advancing physical AI capabilities. The role focuses on generating advanced engineering designs such as robotic hardware, vehicles, and novel semiconductors, with a strong emphasis on software research engineering like 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
Requirements
- 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 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
Preferred Qualifications
- Experience integrating and debugging prototype/scientific software-hardware systems including mechanical, aerospace, or civil engineering domain-specific simulation
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, JMLR and Computer Vision (CVPR, ICCV, ECCV, TPAMI)
- Prior work experience in the fields of mechanical, aerospace, civil engineering or other engineering domains
- Experience working and communicating cross-functionally in a team environment
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. From the launch of Facebook in 2004 to apps like Messenger, Instagram, and WhatsApp, Meta has empowered billions globally. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to shape the next evolution in social technology.
Pay
$184,000/year to $257,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location.