Lead Machine Learning Engineer

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.

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

Experience leading teams of 2-3 Engineers and communicating technical details to interdisciplinary leadership.

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

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.

PhD and/or published research in the described specialty domains.

Familiar with common post-training techniques.

Experience deploying models to resource constrained and edge hardware

Functional understanding of C/C++/CUDA memory and threading models.

Standard office working conditions which includes but is not limited to:

Prolonged sitting

Prolonged standing

Prolonged computer use

Travel required? - Low: 5%-10%

Benefits and 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

Want to learn more about our culture & benefits? Check out our website!

May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

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