- San Francisco, California, United States
- On-site
- Full-time
- $150K–$200K per year
Develop and train models that make robots useful on physical tasks, working across model development, training infrastructure, data curation, and evaluation.
Compensation
Base salary: $150,000–$200,000 per year Equity: 0.1%–1%
Responsibilities
- Train and fine-tune models for robotic perception and behavior
- Turn research ideas into working implementations; compare architectures and training methods through controlled experiments
- Curate datasets, investigate data quality, and measure how changes in the training data affect performance
- Build evaluations with clear success criteria, repeatable procedures, and regression tracking across model versions
- Run models on physical robots, inspect failures, and work with engineering teams to improve reliability
Requirements
- Nice to have: Deploying learned policies on robots
- Nice to have: Imitation learning, reinforcement learning, or vision-language-action models
- Nice to have: Distributed training or building evaluation infrastructure