May Mobility
Tech Lead, Performance Evaluation
$201K–$295K
USA - Remote +1 · Remote · Full-time · Posted Feb 3, 2026
- Location
- USA - Remote
Ann Arbor, Michigan, United States - Experience
- 10+ years of hands-on experience as a Data Scientist or ML Engineer.
- Education
- B.S., M.S. or Ph.D. in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
About the job
Leads performance evaluation of autonomous-vehicle simulation results and machine-learning models to inform release and safety decisions and improve autonomy systems.
What you'll do
- Evaluate simulation test results to guide release and safety decisions; develop software and system requirements with cross-functional teams.
- Lead design and code reviews, provide technical guidance, and mentor team members.
- Communicate analytical findings and model performance metrics through visualizations and presentations.
What they ask for
- B.S., M.S. or Ph.D. in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
- 10+ years of hands-on Data Scientist or ML Engineer experience focused on algorithmic design and deep learning.
- Strong proficiency in Python, SQL, and data analysis tools such as Pandas, NumPy, or Spark.
- Expertise building and managing large datasets and evaluations, databases, and complex predictive machine-learning models.
Nice to have
- Background in autonomous vehicles, robotics, physics, or related fields.
- Hands-on experience working with simulation data.
Pay
$200,591 — $295,000 USD (base salary)
Tools
Python, SQL, Pandas, NumPy, Spark
AI focus
Uses machine learning and analysis of autonomous-vehicle simulation data to evaluate model performance and support autonomy improvements and safety decisions.
Model-written summary · the original posting is authoritative