Meta
Research Scientist Intern, FAIR - Physical Engineering AI (PhD)
Seattle, WA +1 · Internship · Posted Oct 22, 2026
- Location
- Seattle, WA
New York, NY - Experience
- Research and/or work experience in at least one listed research area; no years specified.
- Education
- Currently has or is in the process of obtaining a PhD in a relevant field, or equivalent practical experience.
- Visa sponsorship
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
About the job
Conduct foundational research and build software prototypes that use LLM post-training, reinforcement learning, 3D data, and large-scale simulation to address physical engineering problems.
What you'll do
- Develop and test LLM post-training approaches using reinforcement learning and 3D data, integrating large-scale simulation.
- Build prototypes, run experiments, analyze results, and report or present research findings.
- Explore engineering-domain applications and contribute research relevant to Meta product development.
What they ask for
- Currently has or is pursuing a PhD in a listed relevant field, or equivalent practical experience.
- Research or work experience in at least one listed area, such as physical AI, simulation, reinforcement learning, computer vision (3D), or LLMs.
- Experience in C/C++, Python, and deep learning frameworks such as PyTorch or TensorFlow.
- Must obtain and maintain work authorization in the country of employment; intends to return to the degree program after the internship.
Nice to have
- Experience integrating and debugging prototype or scientific software-hardware systems, including engineering-domain simulation.
- Research record demonstrating significant results, such as first-authored publications at leading venues, grants, fellowships, or patents.
Pay
$7,650/month to $12,667/month (base salary)
Tools
C/C++, Python, PyTorch, TensorFlow
AI focus
Research and develop LLM post-training methods using reinforcement learning and 3D data; integrate large-scale simulation and apply AI to physical engineering domains.
Model-written summary · the original posting is authoritative