Staff Machine Learning Engineer, Robotics

📋 Description

• Design and train models that are robust to differences between vehicles, using approaches such as
• Create benchmarks and metrics for cross-platform performance, translating results into clear
• Help root-cause on-road issues such as late turns, lane-keeping, and steering problems. Work with
• Move research into production in collaboration with Driving Core and application engineering teams.
• Support customer programmes, with some travel.
• Mentor teammates and help raise the bar for ML engineering across the team.

🎯 Requirements

• Several years of experience building and shipping ML systems in PyTorch and Python, including
• Strong robotics or automotive background in areas such as state estimation, sensor fusion
• Systems perspective and ability to trace a problem through sensors, data, models, and actuation.
• Experience working with real-world, multi-sensor driving or robot data.
• Clear communication across teams and comfort owning ambiguous problems from start to finish.
• Experience with end-to-end or learned driving and planning policies, imitation learning, or

🎁 Benefits

• 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