May Mobility

Senior Data Scientist - Metrics

Ann Arbor, MI · Senior

Sponsorship not specified$163k-$240kDetected 227 days ago

PythonSQLMachine LearningPandasNumPySparkData AnalysisData ScienceRoboticsCommunication

About the role

Since our founding in 2017, we've given more than 500,000 autonomous rides to real people around the globe.
May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide.

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.
Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non-technical stakeholders.
Domestic partners who have been residing together at least one year are also eligible to participate.

As we advance toward widespread deployment, the ability to measure safety and comfort objectively, accurately, and at scale is critical.
The Senior Data Scientist in this role will shape how we evaluate AV performance, uncover system vulnerabilities, and ensure that every driving decision meets the highest standards of safety and passenger experience.
Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
Demonstrated experience developing or evaluating safety and/or comfort metrics for autonomous or robotic systems.
Experience designing metric-driven development, KPIs, and automated triaging pipelines.

Success in this role typically requires the following competencies:
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.
Expertise in analyzing high-dimensional or time-series data from sensors, logs, and simulation systems.
Detail-oriented with a focus on validation, testing, and error detection.
Qualifications and Experience
Required
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.
2+ years working in AV, ADAS, robotics, or another safety-critical domain involving vehicle behavior analysis.
Hands-on experience working with real-world driving logs and/or simulation data.
Background in motion planning, behavior prediction, or multi-agent interaction modeling.

$163,477 - $240,408 USD
Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
Rich retirement benefits, including an immediately vested employer safe harbor match.
Generous paid parental leave as well as a phased return to work.
Flexible vacation policy in addition to paid company holidays.
Total Wellness Program providing numerous resources for overall wellbeing

This listing is sourced directly from May Mobility's careers page and normalized into a canonical job model.