Gritt Robotics Inc
Robot Learning Engineer Intern
South San Francisco · On-site · Internship · Posted Jul 21, 2026
- Education
- Pursuing an MS/PhD in ML, Robotics, CS, or related field (exceptional undergraduates welcome).
- Visa sponsorship
- Must be legally authorized to do an internship in the United States for either 3 months or 6 months.
About the job
Train and evaluate learning-based policies for real robot tasks, then deploy them on hardware and improve their real-world performance.
What you'll do
- Train imitation-learning, reinforcement-learning, or fine-tuned foundation-model policies for robot tasks.
- Build data-collection and evaluation pipelines, run ablations, and deploy policies on hardware.
- Test work on real robots and explore methods including pose estimation, VLM, VLA, 3D scene reconstruction, object detection, and multimodal learning.
What they ask for
- Pursuing an MS or PhD in ML, Robotics, CS, or a related field; exceptional undergraduates are welcome.
- Strong PyTorch and grounding in deep learning and at least one of IL or RL.
- Applied evidence through publications, open-source work, or substantial course or competition projects.
- Comfortable owning tasks with light supervision; excellent problem-solving skills.
Nice to have
- Experience with simulators (Isaac, MuJoCo), VLA/foundation models, tele-op data collection, or real-hardware deployment.
Tools
PyTorch, Isaac, MuJoCo, VLM, VLA
AI focus
Train imitation-learning, reinforcement-learning, and fine-tuned foundation-model policies for real robot tasks; build evaluation pipelines and deploy policies on hardware.
Model-written summary · the original posting is authoritative