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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At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.
- Job Type: Full time
- Work Type: Hybrid
As a Principal AI Engineer, you will serve as a strategic technical leader responsible for the vision, architecture, and execution of AI/ML initiatives across the enterprise. You will bridge the gap between complex data science and mission-critical security operations, designing intelligent systems that detect risks, optimize network performance, and automate threat response. This is a high-impact leadership role requiring a blend of hands-on engineering excellence, architectural oversight, and the ability to influence cross-functional stakeholders.
Responsibilities
- Lead the design, development, and deployment of advanced AI/ML solutions focused on cybersecurity, network analytics, and enterprise risk detection.
- Build and operationalize machine learning models, including anomaly detection, predictive analytics, and classification systems for security and network use cases.
- Drive the implementation of Generative AI and Agentic AI solutions to enhance automation, threat intelligence, and decision-making workflows.
- Collaborate with cybersecurity, network engineering, and IAM teams to identify opportunities for AI-driven optimization and risk mitigation.
- Architect end-to-end ML pipelines, ensuring scalability, reliability, and integration with enterprise systems.
- Work hands-on with data—ingestion, preprocessing, feature engineering, and model tuning—to deliver production-grade solutions.
- Translate complex technical outcomes into business insights using dashboards and visualizations (e.g., Power BI) for stakeholders and leadership.
BASIC QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
- 12+ years of experience in software engineering, data science, or AI/ML solution delivery
- Proven experience in designing, building, and deploying scalable AI/ML solutions in enterprise environments
- Strong programming skills in Python and proficiency in SQL
- Hands-on experience in machine learning model development, evaluation, and deployment
- Working knowledge of cybersecurity concepts, network architectures, and Identity & Access Management (IAM)
- Experience with data visualization tools such as Power BI (or equivalent)
- Familiarity with Agile tools such as JIRA
- Exposure to cloud platforms (Azure, AWS, or GCP) and MLOps practices
- Strong problem-solving, stakeholder management, and communication skills
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
This position is leadership level 6 and ranges from $132,800-$250,800.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
Visa sponsorship is available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
LI-Hybrid
LI-GR1
Overview
At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.
- Job Type: Full time
- Work Type: Hybrid
As a Principal AI Engineer, you will serve as a strategic technical leader responsible for the vision, architecture, and execution of AI/ML initiatives across the enterprise. You will bridge the gap between complex data science and mission-critical security operations, designing intelligent systems that detect risks, optimize network performance, and automate threat response. This is a high-impact leadership role requiring a blend of hands-on engineering excellence, architectural oversight, and the ability to influence cross-functional stakeholders.
Responsibilities
- Lead the design, development, and deployment of advanced AI/ML solutions focused on cybersecurity, network analytics, and enterprise risk detection.
- Build and operationalize machine learning models, including anomaly detection, predictive analytics, and classification systems for security and network use cases.
- Drive the implementation of Generative AI and Agentic AI solutions to enhance automation, threat intelligence, and decision-making workflows.
- Collaborate with cybersecurity, network engineering, and IAM teams to identify opportunities for AI-driven optimization and risk mitigation.
- Architect end-to-end ML pipelines, ensuring scalability, reliability, and integration with enterprise systems.
- Work hands-on with data—ingestion, preprocessing, feature engineering, and model tuning—to deliver production-grade solutions.
- Translate complex technical outcomes into business insights using dashboards and visualizations (e.g., Power BI) for stakeholders and leadership.
BASIC QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
- 12+ years of experience in software engineering, data science, or AI/ML solution delivery
- Proven experience in designing, building, and deploying scalable AI/ML solutions in enterprise environments
- Strong programming skills in Python and proficiency in SQL
- Hands-on experience in machine learning model development, evaluation, and deployment
- Working knowledge of cybersecurity concepts, network architectures, and Identity & Access Management (IAM)
- Experience with data visualization tools such as Power BI (or equivalent)
- Familiarity with Agile tools such as JIRA
- Exposure to cloud platforms (Azure, AWS, or GCP) and MLOps practices
- Strong problem-solving, stakeholder management, and communication skills
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
This position is leadership level 6 and ranges from $132,800-$250,800.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
Visa sponsorship is available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
LI-Hybrid
LI-GR1
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.