Lead Machine Learning Engineer - Localization

• Architect and drive the technical roadmap for a production-grade localization machine learning stack, spanning map and sparse landmark-based localization (vision/LiDAR/radar), optimized for real-time performance, robustness against sensor degradation, and integration with the broader autonomy system across diverse Operational Design Domains (ODDs).
• Lead the research, design, training, and validation of advanced neural architectures for object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction to extract and model localization features.
• Drive major feature development from inception to deployment, including high-level architecture design, rigorous code reviews, automated testing, mentorship of junior engineers, and technical resolution.
• Own the end-to-end data strategy for the localization feature extraction domain, defining data curation, auto-labeling, synthetic data, and active learning pipelines to capture and resolve long-tail scenarios.

This role directly contributes to the development of autonomous vehicle technology that aims to create safer, greener, and more accessible transportation, reducing congestion and improving urban livability.

• Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.
• 7+ years of industry experience developing and deploying ML/DL models for computer vision or localization at scale.
• Deep expertise in computer vision foundations, vectorized landmark and feature detection networks, BEV-based scene representation, temporal modeling, self-supervised/semi-supervised learning, open-vocabulary detection, and vision/fusion Foundation Models.
• Experience with feature extraction and/or fusion from imagery, LiDAR, and/or radar; expertise in ML/DL development using PyTorch or TensorFlow; strong programming skills in Python and/or C++ with experience in modular software design and Linux-based development; expertise in ML optimization for real-time products with limited compute.

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
• Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
• Rich retirement benefits, including an immediately vested employer safe harbor match.
• Generous paid parental leave as well as a phased return to work.
• Flexible vacation policy in addition to paid company holidays.
• Total Wellness Program providing numerous resources for overall wellbeing.

Salary Range: $235,000—$285,000 USD

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. They develop and deploy autonomous vehicles powered by Multi-Policy Decision Making (MPDM) technology, providing value to communities and bridging public transit gaps.