Lead ML Engineer: Autonomous Mapping & HD Maps

May Mobility; Ann Arbor (MI); On-site; USD 225,000 - 275,000; Full time

Benefits offered by this job

Comprehensive healthcare suite

Rich retirement benefits

Flexible vacation policy

Total Wellness Program

Job summary

A leading autonomous technology company in Ann Arbor is looking for an experienced individual to architect and implement a production-grade lane and route mapping system. The role demands a Ph.D. or Master's degree in a relevant field along with over 7 years of industry experience in ML/DL for mapping or computer vision. Offering a competitive salary of $225,000—$275,000, this role includes opportunities to lead advanced research and collaborate cross-functionally within an innovative environment.

Qualifications

• Deep expertise in vectorized mapping networks, BEV-based scene representation, and temporal modeling.
• Strong understanding of HD maps, including lane and road network geometry modeling.
• Proven leadership in guiding technical roadmaps, mentoring engineers, and driving improvements.

Responsibilities

• Architect, design, and implement a production-grade lane and route network mapping stack.
• Lead the research, design, and training of advanced neural architectures.
• Develop robust metrics and evaluation frameworks for mapping accuracy.

Education

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

Tools

PyTorch

TensorFlow

Python

C++

Job description

A leading autonomous technology company in Ann Arbor is looking for an experienced individual to architect and implement a production-grade lane and route mapping system. The role demands a Ph.D. or Master's degree in a relevant field along with over 7 years of industry experience in ML/DL for mapping or computer vision. Offering a competitive salary of $225,000—$275,000, this role includes opportunities to lead advanced research and collaborate cross-functionally within an innovative environment.