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Lead Machine Learning Engineer
May MobilityLead Machine Learning Engineer at May Mobility enhancing AI for autonomous vehicles. Designing and evaluating advanced models in a commercial environment.
Posted 5/1/2026full-timeRemote • Missouri • 🇺🇸 United StatesSenior💰 $220,000 - $270,000 per yearWebsite
Tech Stack
Tools & technologiesLinuxPythonPyTorch
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & 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
ATS Keywords
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Hard Skills & Tools
PythonPyTorchMachine LearningVision Language Action ModelsGenerative World ModelsFoundation ModelsData Centric AILiDAR processingCamera processingRadar processing
Soft Skills
mentoringteam leadershipcross-functional collaboration
Certifications
Master’s degree in RoboticsMaster’s degree in Computer ScienceMaster’s degree in Computer Engineering