Lead Machine Learning Engineer New USA - Remote

May Mobility, Inc.; Northern (KY); Hybrid; USD 220,000 - 270,000; Full time

Benefits offered by this job

Healthcare package

Retirement plan

Parental leave

Flexible vacation

Job summary

May Mobility, Inc. is seeking Machine Learning Leaders to advance autonomous vehicle ML capabilities. You will design and evaluate models for AV and simulation stacks, exploring VLA and Foundation models for commercial-scale problems, while leading small teams of engineers.

You will define data balance and training practices to enable efficient petabyte-scale training. The role emphasizes strong Python/PyTorch skills, experience with large multimodal datasets, and deployment to edge hardware in

Qualifications

• 4+ years in commercial robotics or related industry.
• 1 year mentoring ML Engineers in a corporate or lab setting.
• Strong Python/PyTorch experience in Linux environments.
• Practical experience handling long-tail failures in ML.

Responsibilities

• Design, train and evaluate state-of-the-art models for AV and ML Platform.
• Leverage End-to-End driving, VLA and Foundation models for scale.
• Lead small cross-functional teams of 2-3 engineers.
• Define data balance and training/evaluation practices at petabyte scale.

Skills

VLA/World Models

Large multi-modal datasets

Team leadership

Python/PyTorch

C/C++/CUDA

Edge deployment

LiDAR/Camera/Radar

Education

Master’s degree (Robotics/CS/CE)

PhD or published research

Tools

Python

PyTorch

Linux

CUDA

Job description

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.

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.

• 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

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.

Qualifications and Experience

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

Required

• 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 includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

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

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.

Salary Range

$220,000 - $270,000 USD

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