Lead Machine Learning Engineer

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.

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging...

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.

Success in this role typically requires the following competencies:
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.

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
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.
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.
Standard office working conditions which includes but is not limited to:
Prolonged sitting
Prolonged standing
Prolonged computer use
Travel required? -  Low: 5%-10%
Benefits and Perks
Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. 
Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
Rich retirement benefits, including an immediately vested employer safe harbor match.
Generous paid parental leave as well as a phased return to work. 
Flexible vacation policy in addition to paid company holidays.
Total Wellness Program providing numerous resources for overall wellbeing   
Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Want to learn more about our culture & benefits? Check out our website!
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