Robot Learning Engineer Intern

Gritt AI is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. They are seeking a Robot Learning Engineer Intern to work on defined projects involving training policies for real robot tasks, building evaluation pipelines, and testing on real robots.

What you'll do:

• Train policies (imitation learning, RL, or fine-tuned foundation models) for real robot tasks
• Build data collection and evaluation pipelines; run ablations
• Deploy policies on hardware and iterate against real-world performance
• Test your work on real robots at the office
• Get hands-on with pose estimation, VLM, VLA, 3D scene reconstruction, object detection, and multimodal learning
• Get the opportunity to publish (for PhD interns)
• Attend Tier-1 industry conferences
• An example project could be could be anything from pick-and-place policies for large flexible panels under wind disturbance, to sim-to-real for manipulation from a machine on uneven ground

What they're looking for:

• Pursuing MS/PhD in ML, Robotics, CS, or related field (exceptional undergraduates welcome)
• Strong PyTorch; solid grounding in deep learning and one of IL/RL
• Applied evidence: publications, open-source, or substantial course/competition projects
• Should be comfortable taking ownership of tasks with light supervision
• Must have excellent problem-solving skills
• Legally authorized to do an internship in the United States for either 3 months or 6 months
• Experience with simulators (Isaac, MuJoCo), VLA/foundation models, tele-op data collection, or real-hardware deployment