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.

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.

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

Lead Machine Learning Engineer

Key skills