May Mobility
Lead ML Engineer - Mapping
$225K–$275K
USA - Remote +1 · Remote · Full-time · Posted Apr 3, 2026
- Location
- USA - Remote
Ann Arbor, Michigan, United States - Experience
- 7+ years required; 10+ years preferred.
- Education
- Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
About the job
Leads the design and deployment of production-grade ML mapping systems that help autonomous vehicles understand and navigate roads.
What you'll do
- Architect and build lane and route network mapping systems integrated with the autonomy stack.
- Lead development, training, and validation of ML models and data pipelines for automated mapping.
- Drive features from design through deployment, including evaluation, code reviews, mentorship, and cross-functional collaboration.
What they ask for
- Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- 7+ years of industry experience developing and deploying ML/DL models for mapping or computer vision at scale.
- Expertise in several listed computer vision, mapping, and topology areas; strong understanding of HD maps.
- Experience with PyTorch or TensorFlow, Python and/or C++, and Linux-based development; demonstrated technical leadership.
Nice to have
- 10+ years of experience in ML/DL for autonomous driving or ADAS systems.
- Experience with street-level and overhead imagery, VLMs or Foundation Models, real-time ML optimization, or top-tier publications/inventions.
Pay
$225,000–$275,000 USD (base salary)
Tools
PyTorch, TensorFlow, Python, C++, Linux, MapTR
AI focus
Develops and deploys ML/DL for automated lane and route mapping, including computer vision, foundation models, data curation, auto-labeling, synthetic data, and active learning.
Model-written summary · the original posting is authoritative