AI ML Engineer Visa Sponsorship Jobs in Michigan
Michigan's AI/ML engineering market is anchored by automotive technology, with Ford, General Motors, and Stellantis building out machine learning teams in Detroit and Dearborn. Ann Arbor adds depth through University of Michigan spinouts and established tech firms. Employers across the state actively file H-1B visa petitions for qualified AI and ML engineers.
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Hybrid
This role is categorized as hybrid. This means the successful candidate is expected to report to the GM Global Technical Center - Cole Engineering Center Podium or Mountain View Technical Center, CA at least three times per week, at minimum or other frequency dictated by the business. This job is eligible for relocation assistance.
About the Team:
The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We’re proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers. We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We’re committed to maximizing GPU utilization across platforms (B200, H100, A100, and more) while maintaining reliability and cost efficiency.
About the Role:
We are seeking a Staff ML Engineer to help build and scale robust compute platforms for ML workflows. In this role, you’ll work closely with ML engineers and researchers to ensure efficient model training and seamless deployment into production. This is a high-impact opportunity to influence the future of AI infrastructure at GM. You will play a key role in shaping the user-facing experience of the platform, ensuring that ML practitioners can discover, schedule, and debug jobs with ease. The ideal candidate brings experience in designing distributed systems for ML, strong problem-solving skills, and a product mindset focused on platform usability and reliability.
What you’ll be doing:
- Design and implement core platform backend software components
- Experience cloud platforms like GCP, Azure or on-prem
- Collaborate with ML engineers and researchers to understand platform pain points and improve developer experience
- Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa
- Analyze and improve efficiency, scalability, and stability of various system resources
- Lead large-scale technical initiatives across GM’s ML ecosystem
- Help raise the engineering bar through technical leadership and best practices
- Contribute to and potentially lead open source projects; represent GM in relevant communities
Requirements
- 8+ years of industry experience
- Expertise in either Go, C++, Python or other relevant coding languages
- Strong background with kubernetes at scale
- Relevant experience building large-scale with distributed systems
- Experience leading and driving large scale initiatives
- Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services
Preferred Qualifications
- Hands-on experience building ML infrastructure platforms with strong developer/user experience
- Experience working with or designing job orchestration interfaces, CLI tools, or web UIs for ML workflows
- Familiarity with observability, telemetry, and user feedback loops to inform product improvements
- Experience with GPU/TPU optimizations
- Experience with training frameworks like PyTorch, TorchX
- Experience with Ray framework
- Leadership/active participation in the open source community
- Experience infrastructure applications or similar experience
Why Join Us?
If you’re excited to tackle some of today’s most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM—this is the team for you.
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
- Compensation: The expected base compensation for this role is: $195,000 - $298,000. Actual base compensation within the identified range will vary based on factors relevant to the position.
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
- Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Job Description
Hybrid
This role is categorized as hybrid. This means the successful candidate is expected to report to the GM Global Technical Center - Cole Engineering Center Podium or Mountain View Technical Center, CA at least three times per week, at minimum or other frequency dictated by the business. This job is eligible for relocation assistance.
About the Team:
The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We’re proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers. We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We’re committed to maximizing GPU utilization across platforms (B200, H100, A100, and more) while maintaining reliability and cost efficiency.
About the Role:
We are seeking a Staff ML Engineer to help build and scale robust compute platforms for ML workflows. In this role, you’ll work closely with ML engineers and researchers to ensure efficient model training and seamless deployment into production. This is a high-impact opportunity to influence the future of AI infrastructure at GM. You will play a key role in shaping the user-facing experience of the platform, ensuring that ML practitioners can discover, schedule, and debug jobs with ease. The ideal candidate brings experience in designing distributed systems for ML, strong problem-solving skills, and a product mindset focused on platform usability and reliability.
What you’ll be doing:
- Design and implement core platform backend software components
- Experience cloud platforms like GCP, Azure or on-prem
- Collaborate with ML engineers and researchers to understand platform pain points and improve developer experience
- Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa
- Analyze and improve efficiency, scalability, and stability of various system resources
- Lead large-scale technical initiatives across GM’s ML ecosystem
- Help raise the engineering bar through technical leadership and best practices
- Contribute to and potentially lead open source projects; represent GM in relevant communities
Requirements
- 8+ years of industry experience
- Expertise in either Go, C++, Python or other relevant coding languages
- Strong background with kubernetes at scale
- Relevant experience building large-scale with distributed systems
- Experience leading and driving large scale initiatives
- Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services
Preferred Qualifications
- Hands-on experience building ML infrastructure platforms with strong developer/user experience
- Experience working with or designing job orchestration interfaces, CLI tools, or web UIs for ML workflows
- Familiarity with observability, telemetry, and user feedback loops to inform product improvements
- Experience with GPU/TPU optimizations
- Experience with training frameworks like PyTorch, TorchX
- Experience with Ray framework
- Leadership/active participation in the open source community
- Experience infrastructure applications or similar experience
Why Join Us?
If you’re excited to tackle some of today’s most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM—this is the team for you.
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
- Compensation: The expected base compensation for this role is: $195,000 - $298,000. Actual base compensation within the identified range will vary based on factors relevant to the position.
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
- Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
AI ML Engineer Job Roles in Michigan
See all 264+ AI ML Engineer Jobs in Michigan
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Search AI ML Engineer Jobs in MichiganAI ML Engineer Jobs in Michigan: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Michigan?
Ford Motor Company, General Motors, and Stellantis are among the most active H-1B sponsors for AI and ML engineering roles in Michigan, driven by their autonomous vehicle and connected-car initiatives. Beyond automotive, companies like Rocket Companies in Detroit and University of Michigan-affiliated research institutions also sponsor international candidates for machine learning and data science positions.
Which cities in Michigan have the most AI ML engineer sponsorship jobs?
Detroit and its immediate suburbs, including Dearborn and Troy, account for the largest share of AI and ML engineering sponsorship activity in Michigan, largely due to automotive and mobility technology employers. Ann Arbor is the second major hub, supported by the University of Michigan, health tech companies, and a growing cluster of AI startups that have emerged from university research programs.
Which visa types are most common for AI ML engineer roles in Michigan?
The H-1B is the most common visa category for AI and ML engineers in Michigan, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. Some candidates transition from F-1 OPT or STEM OPT, which allows up to three years of work authorization before an employer needs to complete H-1B sponsorship.
How to find ai ml engineer visa sponsorship jobs in Michigan?
Migrate Mate is designed specifically for international candidates looking for visa-sponsored AI and ML engineering roles. You can filter by Michigan to surface employers actively sponsoring in the state, including automotive technology firms in the Detroit area and tech-focused companies in Ann Arbor. Migrate Mate focuses exclusively on roles where sponsorship is a known possibility, saving you time compared to applying broadly.
Are there state-specific considerations for AI ML engineers seeking sponsorship in Michigan?
Michigan's AI and ML hiring is heavily shaped by the automotive sector, so candidates with experience in computer vision, sensor fusion, or reinforcement learning for autonomous systems tend to be particularly competitive. The University of Michigan in Ann Arbor also creates a strong pipeline of international graduates entering the local job market, meaning competition for sponsored roles can be meaningful in that city.
What is the prevailing wage for sponsored ai ml 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.