Research Intern (Physical AI Research)

About the role

We’re hiring Research Interns to train on the physical labor dataset. You will run a real research bet for about 12 weeks, not a toy project, working with high‑resolution video data at scale.

Key responsibilities

• Run a research bet on Build data: train, evaluate, ablate, and document what the data teaches.
• Collaborate with researchers, dataset owners, and evaluation teams to influence collection or evals, beyond just a presentation.
• Build the training and data pipelines you need (e.g., PyTorch, dataset slices, evals) without waiting for a platform team.
• Cover both research and engineering tasks; there is no intern track limited to notebooks.

Required profile

• Progress toward a Bachelor’s, Master’s, or PhD (preferred) in Computer Science, Electrical Engineering, or a related field.
• Experience training real models (course, lab, open‑source, or paper) using PyTorch or equivalent.
• Interest in in‑the‑wild physical or video data rather than only academic splits.
• Ability to operate independently on a 12‑week research bet.
• Willingness to work onsite in San Francisco.

Required skills

• PyTorch
• Large‑scale training
• Distributed GPU work

What we offer

• Competitive pay
• Medical, dental, and vision packages with generous premium coverage
• $500 per month credit for waiving medical benefits
• Housing subsidy of $2k per month for those living within walking distance of the office
• Relocation support for moves to San Francisco (Financial District) or Shenzhen (Nanshan)
• Various wellness benefits covering fitness, mental health, and more
• Daily lunch and dinner in the office
• Unlimited compute budget subject to ROI justification
• Unlimited Codex and Claude credits