Raydar
Robotics Machine Learning Engineer
$150K–$250K
San Francisco, California · Full-time · Posted Oct 30, 2026
- Experience
- Zero to seven years of relevant experience in robotics or machine learning.
About the job
Own machine-learning development for physical robots, from robot-data pipelines and model training to deploying reliable learned control policies on hardware.
What you'll do
- Build and validate pipelines for large volumes of robot data, and maintain dependable training workflows.
- Fine-tune learned control models, calibrate hardware, and oversee data-quality checks for deployment on real robots.
- Set standards for dataset handling and training runs, and track useful robot-learning research.
What they ask for
- Hands-on experience with physical robotic systems and training and deploying learned policies on a moving robot.
- Applied machine-learning engineering background, with depth in robot learning, policy post-training, and training pipelines.
- Strong proficiency in Python and working knowledge of PyTorch, JAX, or a comparable deep-learning framework.
- Openness to applying robotics skills to government-related projects.
Nice to have
- Experience at leading robotics or autonomous-vehicle companies, or in defense tech.
- Proficiency in C++ or Rust; low-level GPU programming; or distributed training or evaluation infrastructure.
Pay
USD 150,000 to 250,000 per year (base salary)
Tools
Python, PyTorch, JAX, C++, Rust
AI focus
Train, fine-tune, and deploy learned control policies for physical robots; apply robot-learning research to real systems.
Model-written summary · the original posting is authoritative