Senior Data Scientist - Metrics

Ann Arbor, United StatesOn-site

Responsibilities

Develop and refine safety and comfort metrics for evaluating autonomous vehicle performance across real-world and simulation data.
Build ML and non-ML models to detect unsafe, uncomfortable, or anomalous behaviors.
Analyze large-scale drive logs and simulation datasets to identify patterns, regressions, and system gaps.
Collaborate with perception, prediction, behavior, and simulation teams to integrate metrics into workflows.

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.
As we advance toward widespread deployment, the ability to measure safety and comfort objectively, accurately, and at scale is critical.
Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).
Strong understanding of vehicle dynamics, kinematics, agent interactions, and road/traffic elements.
Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non-technical stakeholders.
B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. 5+ years of
experience in data science, applied machine learning, robotics, or autonomous systems.
experience developing or evaluating safety and/or comfort metrics for autonomous or robotic systems. Hands-on
experience working with real-world driving logs and/or simulation data. Desired
Background in motion planning, behavior prediction, or multi-agent interaction modeling. •
experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.

2+ years working in AV, ADAS, robotics, or another safety-critical domain involving vehicle behavior analysis. Demonstrated