Robot Learning Engineer Intern

The role

The intern will train policies for real robot tasks using imitation learning, RL, or fine-tuned foundation models. They will build data collection and evaluation pipelines and deploy policies on hardware.

What you will do

• Train policies for real robot tasks
• Build data collection and evaluation pipelines
• Run ablations
• Deploy policies on hardware
• Iterate against real-world performance
• Test work on real robots at the office

Required qualifications

• 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
• Comfortable taking ownership of tasks with light supervision
• Excellent problem-solving skills
• Legally authorized to do an internship in the United States

Nice to have

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

Benefits

• Competitive salaries
• Opportunity to work on a mission with tremendous climate impact
• Opportunity to publish (for PhD interns)
• Attend Tier-1 industry conferences

Before you apply

• Legally authorized to do an internship in the United States for either 3 months or 6 months

About the company

Gritt is an intelligent system that combines robotics and AI to build infrastructure. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT.