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 petitions for qualified AI and ML engineers.
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This role is categorized as hybrid. This means the successful candidate is expected to report to the office in [Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale] a minimum of 3 days per week. This position can be considered Remote if the successful candidate is in the Seattle, Washington area.
About us
The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhance the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world-class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.
The Role
We are looking for a Staff Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers. The way this engineer will deliver impact may vary depending on the situation, but they will be expected to be able to identify how they can best have impact with minimal guidance.
The Team
The Continuous Integration (CI) Platform team owns our CI infrastructure along with the tools that improve the CI customer experience. We are part of the AI and Cloud Developer Productivity Organization and own the building blocks to produce high-quality CI experiences and workflows. This includes services such as the Remote Build Execution (RBE) service which allows GM AI to reliably test at scale and the build artifact storage which is a FUSE based network file system used in conjunction with RBE. Our goal is to accelerate AV development by supporting developer workflows for building, testing, and releasing software.
What You’ll Do (Responsibilities)
- Identify engineering pain points and propose/design/implement solutions that are reliable, scalable, and maintainable
- Influence the team’s technical roadmap
- Evaluate new tools and technologies through PoCs
- Ship improvements to our AV development toolchains and services which have a measurable and direct impact on engineering productivity and our core company metrics
- Drive software engineering best practices within your team, and create tooling which encourages these
- Help steer the engineering culture on the team
- Guide the team to find the right balance between delivering impact and addressing technical debt
- Mentor and grow engineers on the team
- Set the example for high levels of accountability
- Execute and deliver impact both individually and through the team
- Set strong boundaries when selecting external requests and pushing back on requests that do not align with our team vision
Minimum Qualifications (Must-Have)
- 7+ years of experience designing, building and operating production systems at scale in the cloud
- Bachelors Degree in Computer Science or related field or equivalent work experience
- Experience designing highly scalable, reliable, and maintainable services
- Experience writing in Go, Python, or other languages at production scale
- Understanding of Unix/Linux, SSH, and networking fundamentals
- Attention to detail, and a desire to improve processes and systems around you
- Ability to lead and influence others, both internal and external to the team
- Ability to research, document, communicate, and defend proposals, and provide and take critical feedback
- Ability to effectively make trade-offs and communicate the reasoning
- Ability to manage competing priorities, focus on shipping, and work effectively under pressure
- Passion for mentoring and growing junior engineers
- Passion for self-driving technology and its potential impact on the world
Preferred Qualifications (Nice-to-Have)
- Experience working with GCP
- Experience working with Docker and Kubernetes
- Experience owning or contributing to Open-Source projects
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.
- The salary range for this role: is $170,000 to $240,000. The actual base salary a successful candidate will be offered within this 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, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits.
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
This role is categorized as hybrid. This means the successful candidate is expected to report to the office in [Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale] a minimum of 3 days per week. This position can be considered Remote if the successful candidate is in the Seattle, Washington area.
About us
The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhance the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world-class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.
The Role
We are looking for a Staff Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers. The way this engineer will deliver impact may vary depending on the situation, but they will be expected to be able to identify how they can best have impact with minimal guidance.
The Team
The Continuous Integration (CI) Platform team owns our CI infrastructure along with the tools that improve the CI customer experience. We are part of the AI and Cloud Developer Productivity Organization and own the building blocks to produce high-quality CI experiences and workflows. This includes services such as the Remote Build Execution (RBE) service which allows GM AI to reliably test at scale and the build artifact storage which is a FUSE based network file system used in conjunction with RBE. Our goal is to accelerate AV development by supporting developer workflows for building, testing, and releasing software.
What You’ll Do (Responsibilities)
- Identify engineering pain points and propose/design/implement solutions that are reliable, scalable, and maintainable
- Influence the team’s technical roadmap
- Evaluate new tools and technologies through PoCs
- Ship improvements to our AV development toolchains and services which have a measurable and direct impact on engineering productivity and our core company metrics
- Drive software engineering best practices within your team, and create tooling which encourages these
- Help steer the engineering culture on the team
- Guide the team to find the right balance between delivering impact and addressing technical debt
- Mentor and grow engineers on the team
- Set the example for high levels of accountability
- Execute and deliver impact both individually and through the team
- Set strong boundaries when selecting external requests and pushing back on requests that do not align with our team vision
Minimum Qualifications (Must-Have)
- 7+ years of experience designing, building and operating production systems at scale in the cloud
- Bachelors Degree in Computer Science or related field or equivalent work experience
- Experience designing highly scalable, reliable, and maintainable services
- Experience writing in Go, Python, or other languages at production scale
- Understanding of Unix/Linux, SSH, and networking fundamentals
- Attention to detail, and a desire to improve processes and systems around you
- Ability to lead and influence others, both internal and external to the team
- Ability to research, document, communicate, and defend proposals, and provide and take critical feedback
- Ability to effectively make trade-offs and communicate the reasoning
- Ability to manage competing priorities, focus on shipping, and work effectively under pressure
- Passion for mentoring and growing junior engineers
- Passion for self-driving technology and its potential impact on the world
Preferred Qualifications (Nice-to-Have)
- Experience working with GCP
- Experience working with Docker and Kubernetes
- Experience owning or contributing to Open-Source projects
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.
- The salary range for this role: is $170,000 to $240,000. The actual base salary a successful candidate will be offered within this 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, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits.
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
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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.
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