Robotics ML Engineer Intern

Relling; San Francisco (CA); On-site; USD 41,000 - 52,000; Part time

Job summary

Relling is building a stack that moves from prototype to real-time policy deployment on hardware. You will work on data collection tooling, training infrastructure, and robust policy development with emphasis on measurable improvements and reproducible experiments.

Ideal candidates are proficient in Python and PyTorch, comfortable with Linux and Git, and currently enrolled in CS/EE/ME/robotics. Coursework aside, we value hands-on debugging and practical experimentation with real robots.

Qualifications

• Strong Python coding skills and maintainable code practices.
• Comfort with PyTorch and reading training loops to debug.
• Fluent Linux and Git usage for self-sufficiency.

Responsibilities

• Data collection tooling: teleop capture, episode management, labeling pipelines.
• Training/evaluation infra: reproducible runs, checkpoint management, evaluation harnesses.
• Policy work: imitation learning, visual servoing, observation-space design.

Skills

Python

PyTorch

Linux

Git

Empirical approach

Education

Currently enrolled in CS/EE/ME/Robotics or equivalent

Tools

TensorFlow/PyTorch tooling

Data tooling

Job description

Relling is building a stack that moves from prototype to real-time policy deployment on hardware. You will work on data collection tooling, training infrastructure, and robust policy development with emphasis on measurable improvements and reproducible experiments.

Ideal candidates are proficient in Python and PyTorch, comfortable with Linux and Git, and currently enrolled in CS/EE/ME/robotics. Coursework aside, we value hands-on debugging and practical experimentation with real robots.