ML Engineer Visa Sponsorship Jobs in Michigan
Michigan's ML engineer job market centers on Detroit's automotive tech sector, with companies like Ford, General Motors, and Stellantis investing heavily in machine learning for autonomous vehicles and manufacturing optimization. Ann Arbor's university-tech corridor and growing startup scene add further depth to sponsorship opportunities across the state.
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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
ML Engineer Job Roles in Michigan
See all 331+ ML Engineer Jobs in Michigan
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Search ML Engineer Jobs in MichiganML Engineer Jobs in Michigan: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Michigan?
Michigan's strongest ML engineer sponsorship activity comes from automotive and mobility companies. Ford Motor Company, General Motors, and Stellantis regularly sponsor H-1B visa petitions for ML and AI roles tied to autonomous driving, computer vision, and predictive manufacturing systems. Beyond automotive, companies like Rocket Companies in Detroit and University of Michigan-affiliated research labs in Ann Arbor have also filed sponsorship petitions for machine learning talent.
Which visa types are most common for ML engineer roles in Michigan?
The H-1B is the most common visa for ML engineers in Michigan, as machine learning roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with outstanding research records may also qualify for the O-1A. International students completing degrees at Michigan universities often bridge to full-time roles through F-1 OPT or STEM OPT extension before employer-sponsored H-1B petitions.
Which cities in Michigan have the most ML engineer sponsorship jobs?
Detroit and its surrounding metro, including Dearborn and Auburn Hills, concentrate the largest share of ML engineer sponsorship activity due to the headquarters presence of major automakers. Ann Arbor is a close second, driven by proximity to the University of Michigan and a cluster of AI-focused startups and research-to-industry spinouts. Grand Rapids has a smaller but growing tech presence, though ML sponsorship volume there remains significantly lower than the Detroit metro.
How to find ml engineer visa sponsorship jobs in Michigan?
Migrate Mate is built specifically for international candidates searching for visa-sponsoring employers. You can filter by state and role to surface ML engineer positions in Michigan where employers have a documented sponsorship history. This saves time compared to manually screening job listings, since Migrate Mate focuses exclusively on roles relevant to candidates who need work authorization rather than general job postings with no sponsorship context.
Are there state-specific considerations for ML engineers seeking sponsorship in Michigan?
Michigan's ML engineering market is heavily shaped by the automotive industry's push into AI, which means many roles require domain familiarity with computer vision, sensor fusion, or manufacturing data pipelines rather than purely general ML research skills. University of Michigan and Michigan State University produce a consistent pipeline of ML graduates, which means competition for Ann Arbor-area roles can be strong. Employers filing H-1B petitions must comply with Department of Labor prevailing wage requirements specific to the Detroit and Ann Arbor metropolitan areas.
What is the prevailing wage for sponsored 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.