Robotics ML Intern - Policy Training & Eval

One Robot in San Francisco is offering an internship to work on real problems with real robots, embedding directly with the technical team and contributing to active research across world models, policy training, and evaluation.

You will code in Python and PyTorch, assist with end-to-end training runs, conduct real-robot evaluations, and help build tooling and data pipelines to improve the evaluation platform. This role emphasizes hands-on work and rapid learning in a small, fast-moving team.

The Robotics ML Intern
- Real-World Policy Training & Eval role at One Robot is now open for applications in San Francisco, CA, United States.

We aim to respond to suitable candidates as soon as possible.

Full responsibilities and requirements are described in the listing above.

Learn more about the Robotics ML Intern
- Real-World Policy Training & Eval role in the description above.