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Lead Machine Learning Engineer New Remote, USA
- United States
- United States
À propos
Position Summary We are seeking Machine Learning Leaders in the Autonomous Vehicle domain. As part of our team, you will play a critical role in enhancing May’s Machine Learning capabilities both on and off the vehicle, in a commercial large‑scale environment with high standards of quality.
Responsibilities
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.
Skills and Abilities
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.
Required Qualifications
Extensive practical experience in one of the following domains:
Vision‑Language‑Action 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.
Physical Requirements
Standard office working conditions which include but are not limited to prolonged sitting, prolonged standing, and prolonged computer use.
Benefits and Perks
Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together for at least one year are also eligible to participate.
Health Savings and Flexible Spending 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.
Salary Range $220,000 - $270,000 USD
Equal Opportunity Employer 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.
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Compétences linguistiques
- English
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