Machine Learning Visa Sponsorship Jobs in Michigan
Michigan's machine learning job market centers on Detroit's automotive tech sector, Ann Arbor's university-driven research ecosystem, and Grand Rapids' growing health tech industry. Companies like Ford, General Motors, and the University of Michigan regularly hire ML engineers and sponsor work visas. Strong demand spans autonomous vehicle systems, predictive analytics, and computer vision applications.
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Get Access To All JobsJob Title: ML Platform Engineer - GPU Infrastructure
Job Summary
Support team by designing, implementing, and maintaining the automation and ML workload enablement layer of the GPU cluster platform. This role focuses on optimizing GPU compute environments for AI/ML training and Isaac Sim simulation workloads, integrating GPU jobs into CI/CD pipelines, standardizing runtime environments, and supporting reliable storage and artifact management.
Required Experience
3+ years of experience in ML Platform Engineering, DevOps, Infrastructure Engineering, or related field
Bachelor's or Master's degree in Systems Engineering, Computer Science, Computer Engineering, or related discipline
Responsibilities
- Support GPU cluster platforms for AI/ML and simulation workloads
- Optimize GPU compute environments for ML training and Isaac Sim execution
- Integrate GPU workload execution into CI/CD pipelines
- Standardize runtime environments using containers and automation tools
- Manage storage, artifacts, and workload outputs
- Troubleshoot and improve platform reliability, scalability, and performance
- Collaborate with ML, infrastructure, and engineering teams
Required Skills
- Experience with Linux, Kubernetes, Docker, and GPU infrastructure
- Knowledge of CI/CD tools and automation scripting (Python/Bash)
- Experience supporting AI/ML workloads and distributed systems
- Familiarity with NVIDIA GPU technologies and containerized environments
- Strong troubleshooting and performance optimization skills
Preferred Skills
- Experience with Isaac Sim or simulation workloads
- Exposure to cloud platforms (AWS, Azure, or GCP)
- Knowledge of monitoring and observability tools such as Grafana or Prometheus
Job Title: ML Platform Engineer - GPU Infrastructure
Job Summary
Support team by designing, implementing, and maintaining the automation and ML workload enablement layer of the GPU cluster platform. This role focuses on optimizing GPU compute environments for AI/ML training and Isaac Sim simulation workloads, integrating GPU jobs into CI/CD pipelines, standardizing runtime environments, and supporting reliable storage and artifact management.
Required Experience
3+ years of experience in ML Platform Engineering, DevOps, Infrastructure Engineering, or related field
Bachelor's or Master's degree in Systems Engineering, Computer Science, Computer Engineering, or related discipline
Responsibilities
- Support GPU cluster platforms for AI/ML and simulation workloads
- Optimize GPU compute environments for ML training and Isaac Sim execution
- Integrate GPU workload execution into CI/CD pipelines
- Standardize runtime environments using containers and automation tools
- Manage storage, artifacts, and workload outputs
- Troubleshoot and improve platform reliability, scalability, and performance
- Collaborate with ML, infrastructure, and engineering teams
Required Skills
- Experience with Linux, Kubernetes, Docker, and GPU infrastructure
- Knowledge of CI/CD tools and automation scripting (Python/Bash)
- Experience supporting AI/ML workloads and distributed systems
- Familiarity with NVIDIA GPU technologies and containerized environments
- Strong troubleshooting and performance optimization skills
Preferred Skills
- Experience with Isaac Sim or simulation workloads
- Exposure to cloud platforms (AWS, Azure, or GCP)
- Knowledge of monitoring and observability tools such as Grafana or Prometheus
Machine Learning Job Roles in Michigan
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Search Machine Learning Jobs in MichiganMachine Learning Jobs in Michigan: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Michigan?
Ford Motor Company, General Motors, and Stellantis are among Michigan's most active visa sponsors for machine learning engineers, particularly for autonomous driving and predictive maintenance applications. The University of Michigan and Michigan State University sponsor ML researchers through academic positions. Health systems like Henry Ford Health and Beaumont Health also hire ML talent and have sponsored visas for specialized data science and clinical AI roles.
Which visa types are most common for machine learning roles in Michigan?
The H-1B visa is the most common visa for machine learning professionals in Michigan, given that ML engineering typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. OPT and STEM OPT extensions are frequently used by graduates from University of Michigan and Michigan State before transitioning to H-1B sponsorship. Some research-focused roles at universities may use J-1 visa or O-1 visas.
Which cities in Michigan have the most machine learning sponsorship jobs?
Ann Arbor leads Michigan for machine learning sponsorship jobs, driven by University of Michigan spin-offs, automotive tech firms, and AI startups concentrated in the area. Detroit and its suburbs, including Dearborn and Troy, are strong for automotive-adjacent ML roles at Ford, GM, and Stellantis. Grand Rapids has a smaller but growing presence in health tech ML, and Lansing sees some activity tied to state government and Michigan State University.
How to find machine learning visa sponsorship jobs in Michigan?
Migrate Mate is designed specifically for international job seekers looking for visa sponsorship, and you can filter directly for machine learning roles in Michigan. This removes the guesswork of identifying which employers are open to sponsorship. Given Michigan's concentration in automotive tech and university research, filtering by industry can help you target the most active sponsoring employers in the state.
Are there state-specific considerations for machine learning professionals seeking sponsorship in Michigan?
Michigan's machine learning hiring is heavily shaped by the automotive industry's investment in autonomous vehicles and connected car technology, meaning ML roles here often require domain knowledge in sensor fusion, computer vision, or embedded systems rather than purely general ML skills. Ann Arbor's university ecosystem also creates a pipeline where academic research positions can transition to industry sponsorship. Employers filing H-1B petitions must meet Department of Labor prevailing wage requirements specific to Michigan's regional wage levels.
What is the prevailing wage for sponsored machine learning 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.