Machine Learning Engineer

You will own robot learning end to end, from data to deployed policy. The team just passed 100 hours of robot data and is scaling collection fast. This is applied work on real robots, not research for its own sake.

What you’ll do

• Build pipelines that ingest and quality-check terabytes of robot data a day
• Post-train models and set up fast, reliable training pipelines
• Calibrate hardware and run data QC so models perform well on the team’s setup
• Set the company’s standards for data processing and model training
• Track new robot learning research and apply what works

• 0 to 7 years of experience in robotics or machine learning
• Hands-on experience with physical robots such as manipulators, drones or autonomous vehicles
• Experience training and deploying learned policies on a real robot
• Applied ML engineering background rather than purely academic research
• Strong Python and working knowledge of PyTorch, JAX or similar
• Open to working on defense-related projects
• Experience at leading robotics or autonomous vehicle companies
• C++ or Rust proficiency
• Distributed training or low-level GPU programming experience

• $150K-$250K base
• 0.1% to 1% equity
• Medical, dental and vision
• Relocation available; visa sponsorship and transfers supported