Design, train and evaluate state of the art models for May’s autonomous driving, simulation and ML Platform stack.
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. Skills and Abilities
Requirements
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.
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. Essential Responsibilities
Experience leading teams of 2-3 Engineers and communicating technical details to interdisciplinary leadership. Qualifications and Experience
experience in one of the following domains:
Foundation Models in Robotics Data Centric AI
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. Desirable
PhD and/or published research in the described specialty domains.
Functional understanding of C/C++/CUDA memory and threading models. Physical Requirements
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.
Leverage emerging techniques in the End-to-End driving, Vision Language Action (VLA), World or Foundation model domains to solve commercial-scale problems.
Vision Language Action Models
Travel required? - Low: 5%-10% Benefits and Perks
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, 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.
Salary Range $220,000 — $270,000 USD
Additional details
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world.
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 better land use in order to foster more green, vibrant and livable spaces.
Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe.
We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.
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 •
Candidates most successful in this role typically hold the following