Machine Learning Engineer II

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 Engineers with experience in robotics applications. 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.

• Work closely with senior technologists to train, optimize and evaluate vehicle‑oriented Machine Learning models
• Work cross functionally with Perception, Behavior, Integration, Test and Data teams to ensure the highest quality in model performance and deployment

• Experience and interest in one of the following specific domains:
  • ML Runtime or Training Optimization
  • Training Infrastructure
  • Performance evaluation
  • Data Centric Machine Learning
• Functional proficiency with Software concepts such as memory management, threading, databases and networking
• Familiarity with common Perception, Planning and Foundation model concepts in Autonomous Driving.

Required

• Bachelor’s or Master’s degree in Robotics, Computer Science, Computer Engineering, or a related field with strong mathematical and engineering foundations.
• A minimum of 2 years training, optimizing and/or evaluating ML Models in a commercial environment.
• Proficiency in C/C++/Python/PyTorch and experience in Linux environments.

Desirable

• Experience optimizing ML models for resource‑constrained hardware
• Experience with CUDA and GPU processing techniques
• Proficiency with hard example mining, active learning or dataset composition techniques
• Experience calculating metrics for and evaluating autonomous vehicle models
• Experience building training and evaluation pipelines for large data (>100TB) or large model (>100GB) applications

• Standard office working conditions which includes but is not limited to:
  • Prolonged sitting
  • Prolonged standing
  • Prolonged computer use

Travel required? - Low 5-10%

• 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 an accommodation, please let us know.

Salary Range: $160,000 – $210,000 USD