2 years ago
San Francisco, CA, USAIntern
Responsibilities
- Train and evaluate machine learning models for robotic systems.
- Run experiments, analyze results, and document findings.
- Work across the ML stack from training through inference.
- Support deployment and testing of models on robotic hardware.
- Collaborate with AI researchers, software engineers, and hardware teams.
- Study how model design, data quality, and hardware constraints affect real-world performance.
Requirements
- Be a current junior or senior, or equivalent, studying computer science, machine learning, AI, or a related field.
- Have coursework or hands-on experience training machine learning models using frameworks such as PyTorch or JAX.
- Be interested in robotics and real-world learning-system behavior.
- Be able to balance school and work in a fast-moving environment.
- Demonstrate curiosity, ownership, and the ability to carry projects forward with guidance.
Benefits
- The role is based in San Francisco, California.
- The company operates in person.
Tech Stack
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