Staff Machine Learning Engineer, Robotics

Highlights

• Build embodied intelligence that moves real vehicles safely at scale.
• Improve zero-shot transfer across diverse vehicle platforms and sensors.
• Own the Generalization Benchmark used in major OEM programs.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working and access to vehicle workshops and labs
• Learning and development support
• Comprehensive location-dependent health, family, retirement and wellbeing benefits

Ideal candidate

A hands-on, systems-thinking roboticist who loves digging into real-world driving failures and owning ambiguous problems end-to-end to help safe autonomy scale across vehicles.

Requirements

• Several years of experience building and shipping ML systems in PyTorch and Python, including training at scale and rigorous evaluation
• Strong robotics or automotive background in state estimation, sensor fusion, calibration, vehicle dynamics, or controls
• Systems perspective to trace problems through sensors, data, models, and actuation
• Experience working with real-world, multi-sensor driving or robot data
• Clear cross-team communication and ownership of ambiguous problems end-to-end