Research Scientist Intern - Physical Engineering AI

Meta; Seattle (WA); On-site; USD 34,000 - 55,000; Part time

Job summary

Meta's Fundamental AI Research (FAIR) lab is seeking Research Interns to join our team in Seattle. This internship focuses on heavy software research engineering, large-scale data manipulation, and simulator integration to advance physical engineering AI capabilities.

We welcome candidates with experience in mechanical, electrical, or aerospace design, simulation, reinforcement learning, and LLM post-training.

Qualifications

• Strong background in physical engineering design, simulation, RL, and LLM post-training.
• Experience with large-scale data manipulation and simulator integration.
• Interest in applying research at scale and developing foundational AI methods.

Responsibilities

• Conduct research in physical engineering AI and robotics.
• Develop and evaluate core algorithms for large-scale data and simulators.
• Collaborate with FAIR researchers to publish findings.
• Support multiple start dates and 12–24 week internships.

Skills

Mechanical design

Electrical design

Aerospace engineering

Reinforcement learning

LLM post-training

Large-scale data handling

Education

Pursuing BS/MS in engineering

Tools

Simulator integration

Job description

Meta's Fundamental AI Research (FAIR) lab is seeking Research Interns to join our team, which drives foundational research aimed at advancing physical engineering AI capabilities. Our goal is to generate advanced engineering designs such as robotic hardware, vehicles, and novel semiconductors. This internship involves heavy software research engineering, including large-scale data manipulation and simulator integration. Our interns have the opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

We're especially interested in candidates with expertise across physical engineering (mechanical, electrical and aerospace engineering) design, simulation, reinforcement learning, and LLM post-training, including:

• Novel post-training paradigms for LLMs using reinforcement learning
• LLM post-training recipes using 3D data
• Integration of large-scale simulation into LLM post-training
• Computer vision (3D), representation learning, and self-supervised learning
• Modeling for the physical world across mechanical, aerospace, civil, and other engineering domains

Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://ai.meta.com/research/.