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 JobsINTRODUCTION
We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical models and simulations that drive Vehicle Configuration Optimization (VCO). This role will leverage curated datasets to build a customer-level preference simulation engine, enabling optimized vehicle order guides (VOGs) for future model years.
This is a highly impactful role for an early-to-mid career data scientist who enjoys combining statistical rigor, large-scale data, and real-world business impact.
ROLE AND RESPONSIBILITIES:
- Build and run large-scale simulations (e.g., 50,000 synthetic customers) to model vehicle purchase behavior
- Develop statistical and machine learning models using Databricks
- Leverage datasets including:
- Historical vehicle sales
- Competitive sales data
- Feature-level willingness-to-pay data
- Customer preference models
- Translate model outputs into optimized Vehicle Order Guides (VOGs) that inform product configuration decisions
- Perform exploratory data analysis and feature engineering on complex datasets
- Collaborate closely with Data Engineering to refine and leverage curated datasets
- Communicate insights and model recommendations to business stakeholders
- Continuously evaluate and improve model accuracy and assumptions
BASIC QUALIFICATIONS:
- Bachelors Degree Required
- Minimum 5 years of experience in data science, machine learning, or applied statistics
- Strong experience with Databricks (critical requirement)
- Proficiency in Python (Pandas, NumPy, scikit-learn, PySpark)
- Strong SQL skills
- Solid background in statistical modeling, simulation techniques, and experimental design
- Experience translating analytical results into business decisions
PREFERRED QUALIFICATIONS:
- Experience with choice modeling, conjoint analysis, or demand modeling
- Background in automotive, pricing, or product optimization analytics
- Experience working with large-scale simulation frameworks
- Familiarity with Spark and distributed computing
- Exposure to MLOps or model productionization
INTRODUCTION
We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical models and simulations that drive Vehicle Configuration Optimization (VCO). This role will leverage curated datasets to build a customer-level preference simulation engine, enabling optimized vehicle order guides (VOGs) for future model years.
This is a highly impactful role for an early-to-mid career data scientist who enjoys combining statistical rigor, large-scale data, and real-world business impact.
ROLE AND RESPONSIBILITIES:
- Build and run large-scale simulations (e.g., 50,000 synthetic customers) to model vehicle purchase behavior
- Develop statistical and machine learning models using Databricks
- Leverage datasets including:
- Historical vehicle sales
- Competitive sales data
- Feature-level willingness-to-pay data
- Customer preference models
- Translate model outputs into optimized Vehicle Order Guides (VOGs) that inform product configuration decisions
- Perform exploratory data analysis and feature engineering on complex datasets
- Collaborate closely with Data Engineering to refine and leverage curated datasets
- Communicate insights and model recommendations to business stakeholders
- Continuously evaluate and improve model accuracy and assumptions
BASIC QUALIFICATIONS:
- Bachelors Degree Required
- Minimum 5 years of experience in data science, machine learning, or applied statistics
- Strong experience with Databricks (critical requirement)
- Proficiency in Python (Pandas, NumPy, scikit-learn, PySpark)
- Strong SQL skills
- Solid background in statistical modeling, simulation techniques, and experimental design
- Experience translating analytical results into business decisions
PREFERRED QUALIFICATIONS:
- Experience with choice modeling, conjoint analysis, or demand modeling
- Background in automotive, pricing, or product optimization analytics
- Experience working with large-scale simulation frameworks
- Familiarity with Spark and distributed computing
- Exposure to MLOps or model productionization
Machine Learning Job Roles in Michigan
See all 33+ Machine Learning Jobs 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.