Robot Learning Engineer Intern

Summary

Gritt AI is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. As a Robot Learning Engineer Intern, you will own a defined deliverable, work with a dedicated mentor, and have the opportunity to contribute to projects that have a significant climate impact.

Responsibilities

• 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

Skills

• 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
• Real-hardware deployment

Qualifications

Must Haves

• 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

Nice to Haves

• Experience with simulators (Isaac, MuJoCo)
• VLA/foundation models
• tele-op data collection
• real-hardware deployment

Benefits

• Work with a dedicated mentor
• Demo your work to the whole team
• Many interns receive return or full-time offers
• Opportunity to publish (for PhD interns)
• Attend Tier-1 industry conferences
• Test your work on real robots at the office
• Pursuing an internship for one of two durations: 3 months, or 6 months