Machine Learning Engineer II

📋 Job Overview

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.

🏢 About May Mobility

May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles.

🎯 The Role

May Mobility is looking for a Machine Learning Engineer II to join our team and help us build the future of autonomous driving. In this role, you will be responsible for developing and maintaining the training infrastructure for our autonomous driving models. You will work closely with our robotics and software engineering teams to ensure that our models are trained efficiently and effectively.

✅ Key Responsibilities

• Own the process to transition Autonomous Driving ML models from concept to commercial scale.
• Architect and operate data, training and evaluation pipelines across cloud and cluster environments.
• Design and maintain the data and metadata stores that back our training and evaluation workflows.

📌 Required Qualifications

• Bachelor’s or Master’s degree in Robotics, Computer Science or a related field with strong mathematical and engineering foundations.
• A minimum of 2 years building ML-oriented infrastructure, platforms, or distributed systems in production.
• Proficiency in C++, Python and PyTorch with experience in Linux environments.
• Familiarity with basic concepts in Machine Learning (training loops, basic operators and architectures)

⭐ Desirable Experience

• Familiarity with basic Perception and Planning concepts in Autonomous Driving.
• Proficiency in Go or Rust.
• Familiarity with ML orchestration and experiment tooling such as Ray, Kubeflow, Airflow, MLflow, or Weights & Biases.
• Familiarity with distributed training frameworks (PyTorch DDP/FSDP, DeepSpeed).
• Familiarity with data pipeline and storage technologies (Spark, Parquet, object storage, feature/metadata stores).

🎁 Benefits

• 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

🛂 Visa & Eligibility

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.