Machine Learning Engineer II

• Architect and operate data and training pipelines across cloud and cluster environments.
• Build and maintain distributed training and orchestration tooling.
• Design and maintain the data and metadata stores that back our training and evaluation workflows.

This role directly contributes to developing autonomous vehicle technology that creates safer, greener, and more accessible transportation, reducing congestion and expanding access to mobility.

• Bachelor’s or Master’s degree in Robotics, Computer Science or a related field.
• 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.

Comprehensive healthcare suite including medical, dental, vision, life, and disability plans; Health Savings and Flexible Spending Accounts; rich retirement benefits with immediately vested employer safe harbor match; generous paid parental leave with phased return to work; flexible vacation policy; Total Wellness Program. Salary range: $160,000 - $210,000 USD.

May Mobility transforms cities through autonomous technology to create a safer, greener, more accessible world, deploying autonomous vehicles powered by Multi-Policy Decision Making technology.