Research Intern, Physical AI & Engineering Systems

Meta; Seattle, New York (WA, NY); On-site; USD 41,000 - 55,000; Full time

Job summary

Meta's FAIR lab seeks Research Interns to advance foundational AI research aimed at engineering AI capabilities for robotics, vehicles, and semiconductors. The internship emphasizes heavy software research engineering, large-scale data manipulation, and simulator integration.

Ideal candidates have PhD-level expertise across physical engineering domains, reinforcement learning, and LLM post-training, with strong proficiency in C/C++, Python, and DL frameworks. Start dates vary throughout the year.

Qualifications

• PhD or current PhD candidate in AI/ML or related field.
• Experience with large-scale data manipulation and simulation integration.
• Strong publication record or strong research experience in AI/ML domains.

Responsibilities

• Conduct foundational research in physical AI for robotics and engineering applications.
• Develop software for data processing and simulator integration.
• Contribute to core algorithms and experiments at scale.

Skills

C/C++

Python

Deep learning

Reinforcement learning

Computer vision

Education

PhD in AI / ML related field

Tools

PyTorch

TensorFlow

Simulation tools

Job description

Meta's FAIR lab seeks Research Interns to advance foundational AI research aimed at engineering AI capabilities for robotics, vehicles, and semiconductors. The internship emphasizes heavy software research engineering, large-scale data manipulation, and simulator integration.

Ideal candidates have PhD-level expertise across physical engineering domains, reinforcement learning, and LLM post-training, with strong proficiency in C/C++, Python, and DL frameworks. Start dates vary throughout the year.