Lead ML/Perception Engineer

• Lead the technical direction of perception systems for autonomous vehicles, focusing on scene detection, robustness under adverse conditions, and architectural evolution.
• Design, develop, and own scene detection and activation capabilities, integrating large-scale multi-modal models for semantic understanding.
• Improve perception robustness under sensor degradation and adverse weather, implementing graceful degradation and fallback strategies.
• Lead major architectural updates to the perception stack, ensuring scalability, latency, and maintainability across the fleet.

This role directly advances autonomous vehicle technology that reduces congestion, expands access to transportation, and fosters greener, more livable communities, contributing to a safer and more sustainable world.

• 5+ years of industry experience in real-world robot systems with high-quality industrial-grade code.
• Master's degree in Robotics, Computer Science, Computer Engineering, or related field.
• Strong programming skills in C/C++/Python and experience with PyTorch/TensorFlow.
• Experience developing or fine-tuning large-scale multi-modal models for real-world perception.

Comprehensive healthcare suite (medical, dental, vision, life, disability), Health Savings and Flexible Spending Accounts, rich retirement benefits with immediate vesting employer safe harbor match, generous paid parental leave with phased return, flexible vacation policy, and Total Wellness Program.

Salary Range: $235,000 - $275,000 USD.

May Mobility transforms cities through autonomous technology, developing and deploying autonomous vehicles powered by Multi-Policy Decision Making (MPDM) to create safer, greener, more accessible communities.