Lead Machine Learning Engineer - Localization
May Mobility3 months ago
Ann Arbor, MI, USAMid Level / Senior / Staff+
H1B sponsor
Base Salary
$235k - $285k/yr
Responsibilities
- Architect and drive the technical roadmap for a production-grade localization machine learning stack.
- Lead the research, design, training, and validation of advanced neural architectures.
- Drive major feature development from inception to deployment.
- Own the end-to-end data strategy for the localization feature extraction domain.
- Develop robust metrics and evaluation frameworks for localization performance.
- Define and validate failure mode and degradation criteria for localization features.
- Evaluate, adapt, and integrate frontier techniques into production-ready solutions.
- Drive cross-functional alignment for software and system requirements.
Requirements
- 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 computer vision or localization.
- Deep expertise in computer vision foundations and feature detection.
- 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.
- Proven leadership in developing technical roadmaps and mentoring engineers.
Benefits
- 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 with an immediately vested employer safe harbor match.
- Generous paid parental leave and a phased return to work.
- Flexible vacation policy in addition to paid company holidays.
- Total Wellness Program providing numerous resources for overall wellbeing.
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.