Machine Learning Engineer II

May Mobility is transforming cities through autonomous technology to create a safer, greener, and more accessible world. Based in Ann Arbor, Michigan, we develop and deploy autonomous vehicles (AVs) powered by our innovative Multi‑Policy Decision Making (MPDM) technology that shapes how AVs think and operate.

Our vehicles go beyond driving—they provide value to communities, bridge public transit gaps, and move people safely, easily, and with more fun. Since our founding in 2017, we’ve delivered over 500,000 autonomous rides worldwide and are building the world’s best autonomy system to reimagine transit, minimize congestion, expand access, and encourage better land use for greener, livelier spaces. Join us to build the future of mobility.

• Work closely with senior technologists to train, optimize, and evaluate vehicle‑oriented Machine Learning models.
• Collaborate 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 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.

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

• 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, including prolonged sitting, standing, and computer use.

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans; domestic partners who have resided together for at least one year are eligible.
• Health Savings and Flexible Spending accounts for healthcare and dependent care.
• Rich retirement benefits with an immediately vested employer safe‑harbor match.
• Generous paid parental leave and a phased return to work.
• Flexible vacation policy plus paid company holidays.
• Total Wellness Program providing numerous resources for overall wellbeing.

Salary Range: $160,000—$210,000 USD

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. If you believe you will need any type of accommodation, please let us know.