Lead ML Engineer - Lane & Route Networking Mapping

• Lead the research, design, architecture, training and validation of advanced neural networks for vectorized mapping, multi-camera BEV transformers, and multimodal fusion models to extract and model lane and route networks for both offline pipelines and real-time online mapping.
• Architect, design, and implement a production-grade lane and route network mapping stack, ensuring high-performance integration with upstream and downstream modules like Perception, Behavior, Policy, and Prediction.
• Own the end-to-end data strategy for the mapping domain, including data curation, auto-labeling, synthetic data, and active learning pipelines to capture and resolve long-tail scenarios.
• Drive major feature development from inception to deployment, including architecture design, code reviews, automated testing, mentorship of junior engineers, and technical resolution.

This role directly contributes to developing autonomous vehicle technology that transforms cities by creating safer, greener, and more accessible transportation, reducing congestion, expanding access, and fostering livable communities.

• Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with strong mathematical and engineering foundation.
• 7+ years of industry experience developing and deploying ML/DL models for mapping or computer vision at scale.
• Deep expertise in vectorized mapping networks (e.g., MapTR), BEV-based scene representation, cross-modal fusion, transformers/GNNs for lane geometry, and computer vision foundations.
• Strong programming skills in Python and/or C++ with experience in PyTorch or TensorFlow, distributed training, and modular software design.

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
• Health Savings and Flexible Spending Accounts.
• Rich retirement benefits with immediately vested employer safe harbor match.
• Generous paid parental leave with phased return to work.
• Flexible vacation policy plus paid company holidays.
• Total Wellness Program.
• Salary range: $210,000 - $245,000 USD.

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles powered by innovative Multi-Policy Decision Making (MPDM) technology, having given over 500,000 autonomous rides since 2017.