Lead Machine Learning Engineer

May Mobility

Lead machine learning for May Mobility’s autonomous vehicle systems and transit technology. Design large-scale models, solve long-tail failures, and guide robotics engineers.

Posted 8/19/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $220,000 - $270,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and evaluating advanced machine learning models for autonomous driving, with a strong focus on Vision Language Action and Foundation Models. Proven ability to lead teams and mentor engineers while managing large-scale data processing and addressing complex machine learning challenges.

Highest-signal resume keywords

Vision Language Action ModelsGenerative World ModelsPython/PyTorch ProgrammingMachine Learning MentoringCommercial Robotics Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData Centric AILong Tail Problem HandlingModel Training and EvaluationMulti-Modal Dataset ProcessingRoboticsArchitecting VLA ModelsLinux Environment ProficiencyLiDAR Processing TechniquesRadar Processing Techniques

Soft Skills

Team LeadershipTechnical CommunicationMentoring

Certifications & Qualifications

Master’s Degree in RoboticsMaster’s Degree in Computer ScienceMaster’s Degree in Computer Engineering

Industry Keywords

Autonomous DrivingSimulationCommercial-Scale ApplicationsMachine Learning CapabilitiesCross-Functional Engineering

Tech Stack

Tools & technologies

LinuxPythonPyTorch

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 End-to-End driving, Vision Language Action, World Model, and 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.
Enhance May Mobility’s Machine Learning capabilities both on and off the vehicle in a commercial large-scale environment.

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, or 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, 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.
Direct experience architecting and 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.
Standard office working conditions, including prolonged sitting, prolonged standing, and prolonged computer use.
Travel required at a low level: 5%-10%.

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