Lead ML Engineer - Lane & Route Network Mapping
May Mobility5 months ago
Base Salary
$220k - $270k/yr
Responsibilities
- Lead research, design, architecture, training, and validation of neural networks for vectorized mapping, multi-camera BEV transformers, and multimodal fusion.
- Architect and implement a production-grade lane and route network mapping stack integrated with perception, behavior, policy, and prediction modules.
- Drive major features from inception through deployment, including architecture design, code reviews, automated testing, mentorship, and technical resolution.
- Own data curation, auto-labeling, synthetic data, and active-learning pipelines for lane and route networks.
- Develop metrics and evaluation frameworks for mapping accuracy, temporal consistency, and scaling across diverse operational design domains.
- Translate autonomy goals into software and system requirements with cross-functional teams.
- Collaborate on deployment and validation of mapping features across the autonomous-vehicle fleet.
- Evaluate and adapt advanced techniques including online vectorized HD-map construction, end-to-end mapping models, and vision/fusion foundation models.
Requirements
- Ph.D. or master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field, or comparable knowledge or experience.
- At least 7 years of industry experience developing and deploying ML/DL models for mapping or computer vision at scale.
- Expertise in vectorized mapping, BEV scene representation, temporal modeling, cross-modal calibration and fusion, transformers or graph neural networks, lane topology, and computer vision foundations.
- Strong understanding of HD maps, lane and road network geometry, connectivity, and semantic attributes.
- Experience with PyTorch or TensorFlow, distributed training, synthetic data generation, large-scale datasets, and data curation.
- Strong Python and/or C++ programming skills with modular software design and Linux development experience.
- Leadership experience guiding technical roadmaps, mentoring engineers, and improving model performance and system reliability.
- Strong communication and cross-functional collaboration skills.
- Preferred experience includes 10+ years in ML/DL for autonomous driving or ADAS, self-supervised or semi-supervised learning, vision-language or foundation models, model quantization, pruning or distillation, and top-tier research publications or inventions.
Benefits
- Comprehensive medical, dental, vision, life, and disability insurance, with domestic partner eligibility after one year of cohabitation.
- Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care.
- Retirement benefits with an immediately vested employer safe harbor match.
- Paid parental leave with a phased return-to-work program.
- Flexible vacation policy and paid company holidays.
- Total Wellness Program resources.
- Standard office working conditions with moderate travel required, defined as 11%-25%.
Categories
ML EngineeringRobotics
About May Mobility
May Mobility builds and operates autonomous vehicle technology for shared transit and ride-hail services. The company runs autonomous shuttles and driverless pilots with partners like Uber, Lyft, and Grab across deployments in the U.S. and Japan. Founded in 2017 and headquartered in Ann Arbor, Michigan, it sells autonomy-powered transportation services to cities and communities, having completed over 500,000 rides.