May Mobility

Director, Data Science

Remote, USA · Director

Sponsorship not specifiedDetected 55 days ago

PythonC++Code ReviewMachine LearningTensorFlowPyTorchData ScienceComputer VisionMLOpsStatisticsA/B TestingRoboticsResearchLeadership

About the role

May Mobility is entering an exciting phase of growth as we expand our autonomous transit and mobility services across the country.
Establish measurement and experimentation standards across the company - including before/after analyses for stack changes, A/B-style comparisons in simulation, and statistically credible reporting on real-world incidents.
Provide technical guidance to Engineering and Operations leaders on issue diagnosis, resolution, and the ML changes most likely to move our key safety and service metrics.

Hands-On Technical Depth. Has personally shipped production ML or analytics systems within the last 3-5 years and is credible in code review and design review with senior engineers and scientists.
Stakeholder Alignment. Builds durable working relationships with engineering, product, safety, and operations leaders; can broker disagreement between technical functions without escalation becoming the norm.
Set and own the data science strategy across simulation and synthetic data, ML evaluation (perception, prediction, planning), fleet operations analytics, and the data platform that supports them; translate that strategy into a 12-24 month roadmap with measurable milestones.
Lead, grow, and develop a team of senior data scientists, ML engineers, and front-line managers; recruit from a small expert pool, calibrate the bar, and build a hiring brand that allows May Mobility to win against AV, robotics, and AI competitors.
Partner with Engineering, Product, Safety, and Operations leaders to define release criteria, performance metrics, and ODD-expansion gates; use data to make the business case for what we deploy, where, and when.
You will own data science across simulation and synthetic data, perception and planning ML evaluation, fleet operations analytics, and the data infrastructure that supports them.
Domestic partners who have been residing together at least one year are also eligible to participate.

Travel Required?
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Physics, Robotics, or a related quantitative field, or equivalent practical experience.
Experience with simulation, synthetic data generation, sim-to-real transfer, or scenario-based evaluation for AV or robotics.
8+ years of industry experience in data science, machine learning, or applied research, with at least 4 years managing senior individual contributors and front-line managers.
Direct experience leading data science or

Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes.

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
Drive ML and analytics applications end-to-end: dataset curation, scenario coverage, modeling, offboard evaluation, productionization, and continuous monitoring of fleet performance in the wild.

Want to learn more about our culture & benefits?
Prior experience at an autonomous vehicle, robotics, or hard-tech company that has deployed products to real customers (not only research demos).

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