Lead Machine Learning Engineer, May Mobility
$220-270k
Self-driving shuttle & mobility services
Posted today
Self-driving shuttle & mobility services
201-500 employees
Posted today
$220-270k
201-500 employees
Company mission
To transform cities through autonomous technology to create a safer, greener, more accessible world.
Role
Who you are
- 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
- Extensive practical experience in one of the following domains:
- Vision Language Action Models
- Generative World Models
- Foundation Models in Robotics
- Data Centric AI
- A minimum of 4 years of industry experience working on commercial robotics systems
- A minimum of 1 year mentoring ML Engineers in a commercial or lab environment
- Master’s degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation
- Practical experience handling the “Long Tail” problem in Machine Learning
- Strong programming skills in Python/PyTorch in a Linux environment
- Functional understanding of LiDAR, Camera and Radar processing techniques
- Standard office working conditions which includes but is not limited to:
- Prolonged sitting
- Prolonged standing
- Prolonged computer use
- Travel required? - Low: 5%-10%
Desirable
- PhD and/or published research in the described specialty domains
- Familiar with common post-training techniques
- Experience deploying models to resource constrained and edge hardware
- Functional understanding of C/C++/CUDA memory and threading models
What the job involves
- 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
- 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
Our take
As automobile companies across the globe make advancements in the booming autonomous vehicle market, May Mobility’s microtransit services bridge transportation gaps by providing safe, accessible, and free autonomous public transport.
The company operates low-speed (35mph) public transport AVs. It began with a fleet of 20 vehicles in Ann Arbor, and has since launched in a number of other locations across the US, as well as in Nagoya, Japan. By steadily increasing its vehicle deployments, May Mobility has been able to create a name for itself as the market begins to open up.
The company has also raised an impressive amount of capital which supports expanded commercial efforts and the advancement of its technology. In 2026, it launched upgraded architecture that will empower its AVs to understand and reason through the physical world.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 9 rounds)
Apr 2025
$7m
LATE VC
Nov 2023
$105m
SERIES D
Total funding: $392.6m
Company benefits
- Onsite, Hybrid, and Remote Work Options
Company HQ
Pittsfield Charter Township, MI
Leadership
Edwin Olson
(CEO & Founder)Current Professor of Electrical Engineering and Computer Science at the University of Michigan. Former Co-Director of Autonomous Driving Development at Toyota Research Institute.
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