Robot Learning Engineer Intern
Gritt Robotics2 months ago
South San Francisco, CA, USAIntern
Responsibilities
- Train imitation learning, reinforcement learning, or fine-tuned foundation-model policies for real robot tasks.
- Build data collection and evaluation pipelines and run ablation studies.
- Deploy policies on hardware and iterate based on real-world performance.
- Test and improve work on physical robots at the office.
- Work on pose estimation, VLM, VLA, 3D scene reconstruction, object detection, and multimodal learning.
- Own a defined project end-to-end with light supervision and present a demonstration to the team.
Requirements
- Pursuing an MS or PhD in machine learning, robotics, computer science, or a related field; exceptional undergraduates are welcome.
- Strong PyTorch skills and a solid grounding in deep learning and at least one of imitation learning or reinforcement learning.
- Applied evidence such as publications, open-source work, or substantial course or competition projects.
- Comfort taking ownership of tasks with light supervision.
- Excellent problem-solving skills.
- Legally authorized to complete a three- or six-month internship in the United States.
Benefits
- Three- or six-month in-person internship in the SF Bay Area.
- Defined end-to-end project with a dedicated mentor and team demonstration.
- Competitive salary.
- Potential return or full-time offer.
- Opportunity to publish for PhD interns.
- Opportunity to attend Tier-1 industry conferences.
Tech Stack
Categories
ML EngineeringRobotics