Autonomous Driving ML Metrics Engineer II

Maymobility; United States; Remote; USD 172,000 - 210,000; Full time

Benefits offered by this job

Healthcare benefits

Retirement plan with employer match

Parental leave

Flexible vacation

Wellness programs

HSA/FSAs

Job summary

May Mobility in Ann Arbor, Michigan is seeking ML-oriented Software Engineers with robotics background to advance autonomous driving stacks. You will design evaluation pipelines, implement metrics, and improve model performance through data analysis and testing.

Join a growing team building the world’s leading autonomy system while applying ML engineering concepts to offline and on‑road evaluation, balancing datasets, and refining deployment pipelines.

Qualifications

• Bachelor's or Master's degree in Robotics, Computer Science, Statistics, or 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 (losses, train/eval splits, common failure modes) and basic Perception and Planning concepts in Autonomous Driving.

Responsibilities

• 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.

Skills

Python (NumPy/Pandas)

Data analysis

ML concepts

Evaluation metrics

Linux basics

Education

Bachelor's or Master's in Robotics, Computer Science, Statistics

Tools

Go

C++

MLflow

Weights & Biases

Plotly/Grafana/Streamlit

Job description

May Mobility in Ann Arbor, Michigan is seeking ML-oriented Software Engineers with robotics background to advance autonomous driving stacks. You will design evaluation pipelines, implement metrics, and improve model performance through data analysis and testing.

Join a growing team building the world’s leading autonomy system while applying ML engineering concepts to offline and on‑road evaluation, balancing datasets, and refining deployment pipelines.