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Lead Machine Learning Engineer

May MobilityUSA - RemoteAutonomy Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
19 Aug 2026
Status
Open · checked 7d ago

About this role

Role Overview

May Mobility is hiring a remote Lead Machine Learning Engineer to help advance autonomous vehicle technology across commercial deployments. This position suits an experienced engineering professional with a strong background in robotics and machine learning who wants to shape the future of urban transit.

Key Responsibilities

Design, train, and evaluate cutting-edge machine learning models for autonomous driving, simulation, and ML platform stacks.
Utilize emerging methods in End-to-End driving, Vision Language Action, World, and Foundation models to address commercial-scale challenges.
Guide small groups of cross-functional engineers to push beyond current technological boundaries.
Establish data balance, training experiment, and evaluation protocols for efficient petabyte-scale training.

Requirements

Minimum of 4 years of industry experience working on commercial robotics systems.
Minimum of 1 year of experience mentoring machine learning engineers in a commercial or lab environment.
Master’s degree in Robotics, Computer Science, Computer Engineering, or a related field with a strong mathematical and engineering foundation.
Extensive practical background in Vision Language Action Models, Generative World Models, Foundation Models in Robotics, or Data-Centric AI.
Proven expertise handling the long-tail problem in machine learning, along with strong programming skills in Python and PyTorch within a Linux environment.
Functional understanding of LiDAR, camera, and radar processing techniques.

Nice to Have

PhD and/or published research in relevant specialty domains.
Familiarity with common post-training techniques and experience deploying models to resource-constrained and edge hardware.
Functional understanding of C, C++, or CUDA memory and threading models.

Skills and Tools

Python
PyTorch
Linux environment
C/C++ / CUDA
Multi-modal datasets processing

Salary and Benefits

Salary range from $220,000 to $270,000 USD.
Comprehensive healthcare suite including medical, dental, vision, life, and disability plans with domestic partner eligibility.
Health Savings and Flexible Spending Accounts for healthcare and dependent care.
Rich retirement benefits featuring an immediately vested employer safe harbor match.
Generous paid parental leave with a phased return to work, flexible vacation policy, and paid company holidays.
Total Wellness Program offering diverse resources for overall wellbeing.

About the Company

May Mobility is headquartered in Ann Arbor, Michigan, and is dedicated to transforming cities through autonomous technology. The organization develops and deploys autonomous vehicles powered by innovative Multi-Policy Decision Making technology to bridge public transit gaps and reduce urban congestion.

How to Apply

Interested candidates should visit the official May Mobility careers page to submit their application for this remote engineering role.

Skills and tech stack

PythonPyTorchC++

Questions candidates ask

What is the salary range for this remote position?

The salary range for this role is between $220,000 and $270,000 USD.

How much experience is required to apply?

Candidates must have a minimum of 4 years of industry experience working on commercial robotics systems, alongside at least 1 year of mentoring machine learning engineers.

What educational background is needed?

Applicants are required to hold a Master’s degree in Robotics, Computer Science, Computer Engineering, or a related field with a strong mathematical and engineering foundation.

What primary programming languages and tools are used?

The role requires strong programming skills in Python and PyTorch within a Linux environment, with a functional understanding of C, C++, and CUDA preferred.

Is travel required for this job?

Yes, the role requires low travel, estimated at 5% to 10%.

Ready to apply?

The application is on the official May Mobility careers page.

Apply on company site