May Mobility
May Mobility is transforming cities through autonomous technology to create a safer, greener, and more accessible world. Based in Ann Arbor, Michigan, we develop and deploy autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that reimagines how AVs think. Building the world’s best autonomy system to reimagine transit, we provide safety and comfort to communities while expanding access and improving land use. Since 2017, we have given more than 300,000 autonomy‑enabled rides worldwide.
We are hiring a Senior Data Scientist who will shape how we evaluate AV performance, uncover system vulnerabilities, and ensure every driving decision meets the highest standards of safety and passenger experience. Your work will directly influence product readiness, inform engineering priorities, and accelerate the path to building trustworthy, human‑centered autonomous driving systems.
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.
Communicate insights and recommendations to engineering leaders and cross‑functional teams.
Skills
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.
Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non‑technical stakeholders.
Detail‑oriented with a focus on validation, testing, and error detection.
Required Qualifications
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.
Demonstrated 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 Qualifications
Background in motion planning, behavior prediction, or multi‑agent interaction modeling.
Experience designing metric‑driven development, KPIs, and automated triaging pipelines.
Benefits and Perks
Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
Health Savings and Flexible Spending Accounts, including Medical and Dependent Care.
Rich retirement benefits, including an immediately vested employer safe harbor match.
Generous paid parental leave and phased return‑to‑work.
Flexible vacation policy in addition to paid company holidays.
Total Wellness Program with numerous resources for overall wellbeing.
Salary Range: $163,477—$240,408 USD
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
At May Mobility, we are committed to building a diverse, inclusive, and authentic workforce. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics, or any other legally protected basis.
Don’t meet every single requirement? We encourage you to apply anyway if you’re excited about this role and have a strong foundation in the areas above. If you believe you will need an accommodation, please let us know.
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We are hiring a Senior Data Scientist who will shape how we evaluate AV performance, uncover system vulnerabilities, and ensure every driving decision meets the highest standards of safety and passenger experience. Your work will directly influence product readiness, inform engineering priorities, and accelerate the path to building trustworthy, human‑centered autonomous driving systems.
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.
Communicate insights and recommendations to engineering leaders and cross‑functional teams.
Skills
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.
Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non‑technical stakeholders.
Detail‑oriented with a focus on validation, testing, and error detection.
Required Qualifications
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.
Demonstrated 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 Qualifications
Background in motion planning, behavior prediction, or multi‑agent interaction modeling.
Experience designing metric‑driven development, KPIs, and automated triaging pipelines.
Benefits and Perks
Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
Health Savings and Flexible Spending Accounts, including Medical and Dependent Care.
Rich retirement benefits, including an immediately vested employer safe harbor match.
Generous paid parental leave and phased return‑to‑work.
Flexible vacation policy in addition to paid company holidays.
Total Wellness Program with numerous resources for overall wellbeing.
Salary Range: $163,477—$240,408 USD
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
At May Mobility, we are committed to building a diverse, inclusive, and authentic workforce. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics, or any other legally protected basis.
Don’t meet every single requirement? We encourage you to apply anyway if you’re excited about this role and have a strong foundation in the areas above. If you believe you will need an accommodation, please let us know.
#J-18808-Ljbffr