May Mobility

HQ
Ann Arbor
300 Total Employees
Year Founded: 2017
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May Mobility Benefits Overview

Compensation + BenefitsWork-Life Balance + WellbeingCareer Growth + DevelopmentCompany Culture

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Offers company equity

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Company Culture

Office is pet friendly

Provides a mobile phone discount

Provides free snacks and drinks

Offers a remote work program

Offers diversity-based Employee Resource Groups

Recently posted jobs

See all jobs at May Mobility
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May Mobility

Robotics Engineer II

17 Hours AgoSaved
In-Office
Ann Arbor, MI, USA
Automotive • Machine Learning • Robotics • Software • Transportation
Train, integrate, test, optimize, and monitor machine learning models and autonomy software on autonomous vehicles. Coordinate real-world vehicle testing, diagnose field issues, design data collection strategies, and develop tools and visualizations for analyzing behavior and control subsystem performance. The role requires robotics software development, sensor interface knowledge, Linux programming, and software debugging expertise.
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May Mobility

Senior Systems Engineer - Sensor Selection

21 Hours AgoSaved
In-Office
Ann Arbor, MI, USA
Automotive • Machine Learning • Robotics • Software • Transportation
Integrates hardware, software, and product requirements for an autonomous driving platform. Owns systems integration, validation, metrics, requirements specifications, verification criteria, FMEA analysis, and cross-functional trade-off resolution. Partners with system architects, controls teams, test and validation groups, and OEMs while evaluating regulatory requirements and improving engineering processes.
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May Mobility

Lead Machine Learning Engineer

21 Hours AgoSaved
Remote
USA
Automotive • Machine Learning • Robotics • Software • Transportation
Design, train, and evaluate advanced machine learning models for autonomous driving, simulation, and ML platforms. Lead small cross-functional engineering teams, establish data and experiment practices for petabyte-scale training, address long-tail model failures, and work with multimodal datasets exceeding 100TB. The role requires commercial robotics experience, mentoring capability, expertise in VLA or generative world models, Python/PyTorch, sensor processing, and potentially edge deployment.
see all jobs at May Mobility