Physical AI Research Scientist: Robotics & Simulation

Meta; Menlo Park (CA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta's Fundamental AI Research lab is seeking a Research Scientist to drive foundational research aimed at advancing physical AI capabilities. We seek to generate advanced engineering designs such as robotic hardware, vehicles, and novel semiconductors.

This role will involve heavy software research engineering, such as large-scale data manipulation and simulator integration. Responsibilities include exploring new post-training paradigms for LLMs with reinforcement learning, developing 3D

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• PhD in Artificial Intelligence, Physical AI, Computer Vision (3D), ML or related field preferred.
• Experience with deep learning frameworks (PyTorch, TensorFlow).

Responsibilities

• Explore post-training paradigms for LLMs using RL.
• Develop LLM post-training recipes using 3D data.
• Integrate large-scale simulation into LLM post-training.
• Bridge mechanical, aerospace, civil engineering domains with AI.

Skills

C/C++

Python

Deep learning frameworks

Research RL/3D data

Simulation integration

Education

Bachelor's in CS/CE or equivalent

PhD in AI/Physical AI/ML/3D CV or equivalent

Tools

PyTorch

TensorFlow

Simulation tools

Job description

Meta's Fundamental AI Research lab is seeking a Research Scientist to drive foundational research aimed at advancing physical AI capabilities. We seek to generate advanced engineering designs such as robotic hardware, vehicles, and novel semiconductors.

This role will involve heavy software research engineering, such as large-scale data manipulation and simulator integration. Responsibilities include exploring new post-training paradigms for LLMs with reinforcement learning, developing 3D