Data Science Engineer Visa Sponsorship Jobs in Michigan
Michigan's data science engineer job market centers on Detroit's automotive tech corridor, with major employers like Ford, General Motors, Stellantis, and their supplier networks actively hiring for advanced analytics roles. Ann Arbor and Grand Rapids add university-linked research and healthcare data opportunities. Many of these employers have established H-1B visa sponsorship programs for qualified international candidates.
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Get Access To All JobsINTRODUCTION
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. 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. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 500,000 autonomous rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.
JOB SUMMARY
May Mobility is entering an exciting phase of growth as we expand our autonomous transit and mobility services across the country. Founded in 2017 by a team of experienced roboticists, perception, behavior, AI, and software engineers, we operate driverless transit shuttles in real communities — not as a research demonstration, but as a daily-service product that people rely on to get to work, school, and home. The Director, Data Science will lead the team responsible for turning the data generated by our fleet, simulation environment, and ML systems into the insights, evaluations, and decisions that make our autonomous service safer, more efficient, and ready to scale into new cities. 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. You will partner directly with Engineering, Product, Operations, and Safety leadership to set measurement standards, define release criteria, and translate frontline operating data into the next generation of our autonomy stack. This is a leadership role for someone who has scaled a data science function inside a hard-tech environment, who is comfortable making engineering and product tradeoffs alongside their team, and who sees the gap between research-grade ML and production transit-grade ML as the most interesting problem in the industry today.
ESSENTIAL RESPONSIBILITIES
- 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.
- 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.
- 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.
- Lead team-wide quality activities including design and code reviews; hold the bar on engineering rigor for production data science systems.
- Track and trend technical performance of the autonomy stack in the field; surface root causes, prioritize fixes with engineering, and represent fleet-data findings to executives, regulators, and partners.
- 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.
- Represent May Mobility's data science work externally where appropriate — through publications, conference talks, partner reviews, and recruiting.
SKILLS AND ABILITIES
Success in this role typically requires the following competencies:
- Autonomy Data Expertise. Can reason fluently about the data produced by a modern AV stack — sensor logs, perception outputs, planning traces, simulator results, and operational telemetry — and can identify which signals matter for which decisions.
- 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.
- Cross-Functional Translator. Can explain a complex ML or statistical finding to engineering, product, and executive audiences; and can extract a clear analytical brief from a vague business or safety question.
- Data-Driven Decision Making. Uses fleet, simulation, and operational data to change roadmap decisions; comfortable defending a position with data and equally comfortable being wrong in front of the team when new data arrives.
- Stakeholder Alignment. Builds durable working relationships with engineering, product, safety, and operations leaders; can broker disagreement between technical functions without escalation becoming the norm.
- Talent Magnet and Coach. Has personally hired and developed senior data scientists and front-line managers; calibrates the bar, gives direct feedback, and grows people into bigger jobs.
- Prioritization Rigor. Comfortable killing work that doesn't earn its place on the roadmap; protects the team from low-leverage requests while staying responsive to legitimate cross-functional needs.
QUALIFICATIONS AND EXPERIENCE
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
- 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 ML work in at least one of the following domains: autonomous vehicles or ADAS, robotics, large-scale computer vision systems, simulation and synthetic data, reinforcement learning, or large-scale ML platforms.
- Demonstrated track record leading a team of 10 or more through a major delivery — for example, a production launch, a major model rollout, a regulatory milestone, or a significant ODD or product expansion.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Physics, Robotics, or a related quantitative field, or equivalent practical experience.
- Strong programming skills in Python; working familiarity with the production ML stack used in modern AV/robotics environments (e.g., PyTorch or TensorFlow, distributed training, dataset and feature pipelines, experiment tracking).
- Experience setting measurement and experimentation standards inside an engineering or product organization, with credible examples of metrics or evaluation frameworks the team adopted and kept using.
- Experience operating in cross-functional partnership with engineering, product, safety, and operations leaders — comfortable both defending technical positions and adjusting them in light of business or safety constraints.
PREFERRED
- Master's or PhD in Computer Science, Robotics, Statistics, EE, Mathematics, or a related quantitative field.
- Prior experience at an autonomous vehicle, robotics, or hard-tech company that has deployed products to real customers (not only research demos).
- Experience with simulation, synthetic data generation, sim-to-real transfer, or scenario-based evaluation for AV or robotics.
- Familiarity with safety-case construction, ODD definition, or regulator engagement for autonomous systems.
- Publications or conference contributions in top-tier ML, CV, or robotics venues (e.g., NeurIPS, ICML, CVPR, ICRA, RSS).
- Experience with C/C++ systems and/or GPU programming sufficient to engage credibly with onboard ML and infrastructure teams.
- Demonstrated ability to mentor and grow junior managers and senior individual contributors into bigger roles.
Physical Requirements
- Standard office working conditions which include but are not limited to prolonged sitting, standing and computer use.
- Travel Required? Moderate: 11%–25% (site visits to deployment cities, partner meetings, recruiting events, and engineering offsites).
BENEFITS AND PERKS
- Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
- 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.
Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous 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.
LOCATION
Salary Range: $217,000—$312,000 USD
May Mobility is an equal opportunity employer. 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. 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. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies:
May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
INTRODUCTION
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. 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. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 500,000 autonomous rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.
JOB SUMMARY
May Mobility is entering an exciting phase of growth as we expand our autonomous transit and mobility services across the country. Founded in 2017 by a team of experienced roboticists, perception, behavior, AI, and software engineers, we operate driverless transit shuttles in real communities — not as a research demonstration, but as a daily-service product that people rely on to get to work, school, and home. The Director, Data Science will lead the team responsible for turning the data generated by our fleet, simulation environment, and ML systems into the insights, evaluations, and decisions that make our autonomous service safer, more efficient, and ready to scale into new cities. 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. You will partner directly with Engineering, Product, Operations, and Safety leadership to set measurement standards, define release criteria, and translate frontline operating data into the next generation of our autonomy stack. This is a leadership role for someone who has scaled a data science function inside a hard-tech environment, who is comfortable making engineering and product tradeoffs alongside their team, and who sees the gap between research-grade ML and production transit-grade ML as the most interesting problem in the industry today.
ESSENTIAL RESPONSIBILITIES
- 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.
- 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.
- 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.
- Lead team-wide quality activities including design and code reviews; hold the bar on engineering rigor for production data science systems.
- Track and trend technical performance of the autonomy stack in the field; surface root causes, prioritize fixes with engineering, and represent fleet-data findings to executives, regulators, and partners.
- 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.
- Represent May Mobility's data science work externally where appropriate — through publications, conference talks, partner reviews, and recruiting.
SKILLS AND ABILITIES
Success in this role typically requires the following competencies:
- Autonomy Data Expertise. Can reason fluently about the data produced by a modern AV stack — sensor logs, perception outputs, planning traces, simulator results, and operational telemetry — and can identify which signals matter for which decisions.
- 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.
- Cross-Functional Translator. Can explain a complex ML or statistical finding to engineering, product, and executive audiences; and can extract a clear analytical brief from a vague business or safety question.
- Data-Driven Decision Making. Uses fleet, simulation, and operational data to change roadmap decisions; comfortable defending a position with data and equally comfortable being wrong in front of the team when new data arrives.
- Stakeholder Alignment. Builds durable working relationships with engineering, product, safety, and operations leaders; can broker disagreement between technical functions without escalation becoming the norm.
- Talent Magnet and Coach. Has personally hired and developed senior data scientists and front-line managers; calibrates the bar, gives direct feedback, and grows people into bigger jobs.
- Prioritization Rigor. Comfortable killing work that doesn't earn its place on the roadmap; protects the team from low-leverage requests while staying responsive to legitimate cross-functional needs.
QUALIFICATIONS AND EXPERIENCE
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
- 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 ML work in at least one of the following domains: autonomous vehicles or ADAS, robotics, large-scale computer vision systems, simulation and synthetic data, reinforcement learning, or large-scale ML platforms.
- Demonstrated track record leading a team of 10 or more through a major delivery — for example, a production launch, a major model rollout, a regulatory milestone, or a significant ODD or product expansion.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Physics, Robotics, or a related quantitative field, or equivalent practical experience.
- Strong programming skills in Python; working familiarity with the production ML stack used in modern AV/robotics environments (e.g., PyTorch or TensorFlow, distributed training, dataset and feature pipelines, experiment tracking).
- Experience setting measurement and experimentation standards inside an engineering or product organization, with credible examples of metrics or evaluation frameworks the team adopted and kept using.
- Experience operating in cross-functional partnership with engineering, product, safety, and operations leaders — comfortable both defending technical positions and adjusting them in light of business or safety constraints.
PREFERRED
- Master's or PhD in Computer Science, Robotics, Statistics, EE, Mathematics, or a related quantitative field.
- Prior experience at an autonomous vehicle, robotics, or hard-tech company that has deployed products to real customers (not only research demos).
- Experience with simulation, synthetic data generation, sim-to-real transfer, or scenario-based evaluation for AV or robotics.
- Familiarity with safety-case construction, ODD definition, or regulator engagement for autonomous systems.
- Publications or conference contributions in top-tier ML, CV, or robotics venues (e.g., NeurIPS, ICML, CVPR, ICRA, RSS).
- Experience with C/C++ systems and/or GPU programming sufficient to engage credibly with onboard ML and infrastructure teams.
- Demonstrated ability to mentor and grow junior managers and senior individual contributors into bigger roles.
Physical Requirements
- Standard office working conditions which include but are not limited to prolonged sitting, standing and computer use.
- Travel Required? Moderate: 11%–25% (site visits to deployment cities, partner meetings, recruiting events, and engineering offsites).
BENEFITS AND PERKS
- Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
- 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.
Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous 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.
LOCATION
Salary Range: $217,000—$312,000 USD
May Mobility is an equal opportunity employer. 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. 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. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies:
May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
Data Science Engineer Job Roles in Michigan
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Search Data Science Engineer Jobs in MichiganData Science Engineer Jobs in Michigan: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Michigan?
Ford Motor Company, General Motors, Stellantis, and major automotive suppliers like Bosch and Aptiv have consistent H-1B sponsorship histories for data science roles. Beyond automotive, large healthcare systems such as Henry Ford Health and Beaumont Health, along with tech-forward companies headquartered in Ann Arbor and Detroit, appear regularly in Department of Labor disclosure data for data science engineer positions.
Which visa types are most common for data science engineer roles in Michigan?
The H-1B is the most common visa for data science engineers in Michigan, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. International candidates already in the U.S. on F-1 OPT or STEM OPT extension often transition to H-1B through employer sponsorship. Candidates with Canadian or Mexican citizenship may also qualify for TN visa status under the 'Systems Analyst' or 'Mathematician' category.
Which cities in Michigan have the most data science engineer sponsorship jobs?
Detroit and its surrounding suburbs, including Dearborn, Troy, and Auburn Hills, account for the majority of data science engineer sponsorship activity due to the concentration of automotive OEMs and suppliers. Ann Arbor is a secondary hub, driven by the University of Michigan research ecosystem and nearby technology companies. Grand Rapids has a smaller but growing presence, particularly in healthcare data and manufacturing analytics.
How to find data science engineer visa sponsorship jobs in Michigan?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, making it straightforward to browse data science engineer openings in Michigan without sorting through employers who do not sponsor. You can filter by state and role to surface positions at automotive companies, healthcare systems, and tech firms in the Detroit metro and Ann Arbor areas that have active H-1B sponsorship programs.
Are there any Michigan-specific considerations for data science engineers seeking visa sponsorship?
Michigan's prevailing wage requirements for H-1B data science engineer roles are set against regional wage surveys, and Detroit-area wages are generally lower than coastal tech hubs, which can affect how employers structure compensation to meet Department of Labor standards. The University of Michigan and Michigan State University pipelines also mean employers in Ann Arbor and East Lansing are accustomed to sponsoring recent graduates transitioning from F-1 OPT, making those corridors particularly active for early-career candidates.
What is the prevailing wage for sponsored data science engineer jobs in Michigan?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.