Lead ML Engineer - Mapping
May Mobility5 months ago
Base Salary
$225k - $275k/yr
Responsibilities
- Architect, design, and implement a production-grade lane and route network mapping stack integrated with the broader autonomy system.
- Lead research, design, training, and validation of neural architectures for mapping and semantic feature extraction.
- Drive major features from inception through deployment, including architecture, code reviews, automated testing, and technical resolution.
- Mentor junior engineers and lead technical roadmaps.
- Own data curation, auto-labeling, synthetic-data, and active-learning pipelines for long-tail mapping scenarios.
- 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 with ML and autonomy engineers to deploy and validate mapping features across the vehicle fleet.
- Evaluate and adapt online vectorized HD-map construction, end-to-end mapping models, and vision or fusion foundation models.
Requirements
- Ph.D. or master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation, 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.
- Deep expertise in areas including object detection, classification, segmentation, tracking, depth estimation, 3D reconstruction, lane topology, intersection modeling, graph construction, vectorized mapping, BEV scene representation, temporal modeling, and self-supervised or semi-supervised learning.
- Strong understanding of HD maps, lane and road network geometry, connectivity, and semantic attributes.
- Experience developing ML/DL systems with PyTorch or TensorFlow, including distributed training, synthetic data generation, large-scale datasets, and data curation.
- Strong Python and/or C++ programming skills with modular software design and Linux-based development experience.
- Proven technical leadership, including roadmap guidance, engineer mentorship, and measurable improvements in model performance and system reliability.
- Strong communication skills for leading technical discussions and aligning cross-functional teams.
- Experience with ML/DL for autonomous driving or ADAS systems is desirable, particularly 10 or more years.
- Experience with street-level and overhead imagery, Vision-Language Models, Foundation Models, auto-labeling, long-tail detection, quantization, pruning, or real-time optimization is desirable.
- A record of inventions or publications at conferences such as CVPR, NeurIPS, ICCV, ECCV, or ICLR is desirable.
Benefits
- Comprehensive medical, dental, vision, life, and disability coverage, 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 option.
- Flexible vacation policy and paid company holidays.
- Total Wellness Program resources.
- Standard office work with moderate travel required, ranging from 11% to 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.