AI ML Engineering Visa Sponsorship Jobs in Michigan
Michigan's AI/ML engineering market is anchored by automotive technology in Detroit, with major players like Ford, General Motors, and Stellantis investing heavily in machine learning for autonomous vehicles and manufacturing intelligence. Ann Arbor adds a strong research dimension through the University of Michigan, attracting companies like Google and various defense contractors actively hiring and sponsoring international AI/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 Engineering Job Roles in Michigan
See all 329+ AI ML Engineering Jobs in Michigan
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Search AI ML Engineering Jobs in MichiganAI ML Engineering Jobs in Michigan: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Michigan?
Ford, General Motors, and Stellantis are among the most active visa sponsors for AI/ML engineers in Michigan, particularly for roles tied to autonomous driving and manufacturing optimization. Technology firms like Google (Ann Arbor office), Microsoft, and various automotive software suppliers also have established sponsorship track records. University-affiliated research institutions in Ann Arbor and East Lansing additionally hire and sponsor international AI/ML talent.
Which visa types are most common for AI/ML engineering roles in Michigan?
The H-1B visa is the most common visa category for AI/ML engineers in Michigan, as these roles consistently qualify as specialty occupations requiring a bachelor's degree or higher in computer science, data science, or a related engineering field. Candidates with extraordinary ability or significant research contributions may qualify for the O-1A. Those already holding OPT or STEM OPT authorization can begin work immediately while an employer pursues H-1B sponsorship through the annual lottery.
Which cities in Michigan have the most AI/ML engineering sponsorship jobs?
Detroit and its surrounding metro area, including Dearborn and Auburn Hills, concentrate the largest share of AI/ML sponsorship jobs in Michigan due to the automotive industry's growing investment in intelligent systems. Ann Arbor is the second major hub, driven by University of Michigan research spinoffs and a dense cluster of tech-forward employers. Grand Rapids has a smaller but emerging presence, particularly in manufacturing and health technology applications.
How to find ai ml engineering visa sponsorship jobs in Michigan?
Migrate Mate is built specifically for international job seekers and filters AI/ML engineering roles in Michigan by verified visa sponsorship history, saving significant research time. Because automotive and tech employers in Michigan don't always advertise sponsorship willingness upfront, using a platform like Migrate Mate that cross-references H-1B filing records helps you focus on employers with a real track record of sponsoring international AI/ML engineers in this state.
Are there any Michigan-specific considerations for AI/ML engineers seeking visa sponsorship?
Michigan's AI/ML market is heavily shaped by the automotive industry's transition toward autonomous systems and electrification, meaning employers here often prioritize machine learning skills applied to computer vision, sensor fusion, and real-time inference rather than general software engineering. The University of Michigan pipeline in Ann Arbor means many local employers are familiar with OPT and STEM OPT timelines. Prevailing wage requirements for H-1B positions are determined by the Department of Labor using local Michigan wage data, so compensation benchmarks reflect the Detroit and Ann Arbor metro areas specifically.
What is the prevailing wage for sponsored ai ml engineering 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.