Machine Learning Engineer II - Autonomous Driving Performance Evaluation

• Design, implement and own ML metrics and evaluation pipelines spanning offline model evaluation, simulation and on-road performance.
• Build and maintain test, regression and hillclimbing suites that gate model and stack releases, including automated triage of regressions to root cause.
• Drive model improvement through loss analysis, error mining, and data balancing/curation strategies for training and evaluation sets.

This role directly improves the safety and reliability of autonomous vehicles, enabling cleaner, more accessible transportation that reduces congestion and fosters livable communities.

• Bachelor's or Master's degree in Robotics, Computer Science, Statistics, or a related field with strong mathematical and engineering foundations.
• A minimum of 2 years building evaluation, metrics, or data analysis systems for ML in production.
• Proficiency in Python (NumPy/Pandas or equivalent dataframe tooling) with experience in Linux environments.
• Familiarity with basic concepts in Machine Learning and Autonomous Driving perception and planning.

Comprehensive healthcare suite (medical, dental, vision, life, disability), Health Savings and Flexible Spending Accounts, rich retirement benefits with immediately vested employer safe harbor match, generous paid parental leave with phased return, flexible vacation policy, and Total Wellness Program.

Salary range: $172,000 - $210,000 USD.

May Mobility transforms cities through autonomous technology to create a safer, greener, more accessible world. Since 2017, they have deployed autonomous vehicles powered by Multi-Policy Decision Making technology, providing over 500,000 rides globally.