Robot Learning Engineer Intern

Train policies using imitation learning, reinforcement learning, or fine-tuned foundation models for real robot tasks. Build data collection and evaluation pipelines, run ablations, and deploy policies on hardware to iterate against real-world performance. Test your work on real robots at the office while gaining hands-on experience with pose estimation, VLM, VLA, 3D scene reconstruction, and multimodal learning. Own a defined deliverable end-to-end with a dedicated mentor, with opportunities to publish and present at Tier-1 conferences. This three- or six-month internship is based in the SF Bay Area for candidates pursuing an MS or PhD in ML, Robotics, or CS.