- Robot type
- Autonomous Vehicle
- Location
- Ann ArborMichiganUSA
- Job type
- Artificial Intelligence
- Posted
- Aug 19, 2026
- Salary
- $220,000–$270,000 a year
Lead Machine Learning Engineer
Job description
We are seeking Machine Learning Leaders in the Autonomous Vehicle domain. As part of our team, you will play a critical role in enhancing May’s Machine Learning capabilities both on and off the vehicle, in a commercial large-scale environment with high standards of quality.
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.
Job responsibilities
- Design, train and evaluate state of the art models for May’s autonomous driving, simulation and ML Platform stack.
- Leverage emerging techniques in the End-to-End driving, Vision Language Action (VLA), World or Foundation model domains to solve commercial-scale problems.
- Lead small teams of cross functional Engineers beyond the state of the art.
- Define data balance, training experiment and evaluation practices to train efficiently at petabyte scale.
- Direct experience architecting & training VLA, MMLM, or Generative World Models for commercial-scale applications
- Experience composing, processing and characterizing large (>100TB) multi-modal datasets
- Experience analyzing and addressing long-tail failure cases in large models
- Experience leading teams of 2-3 Engineers and communicating technical details to interdisciplinary leadership.
Job requirements
- Standard office working conditions which includes but is not limited to:
- Prolonged sitting
- Prolonged standing
- Prolonged computer use
- Travel required? - Low: 5%-10%
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