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 JobsAbout Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We’re reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
Role Overview
We are hiring Machine Learning Engineers (Autonomy) to build the autonomy and sensor-integration software that lets our mining vehicles perceive, decide, and drive themselves. In this role you will work on parts of the software and sensor integration that enables full mining autonomy — sensor fusion across LiDAR, cameras, radar, and IMU/GNSS; perception, localization, and mapping; and the autonomy stack that turns sensing into safe vehicle motion. You will carry work from architecture and algorithm design through implementation, simulation, and bench and field validation, working hand in hand with our hardware, controls, and systems-engineering teams. This is a hands-on, first-principles role for an engineer who wants to develop the world’s first fully autonomous mines.
What You’ll Do
- Develop autonomy software for autonomous mining vehicles focusing on one or more area: perception, SLAM, motion planning, and control
- Integrate and calibrate the sensing suite (LiDAR, cameras, radar, IMU, GNSS), implementing sensor fusion and time synchronization robust to dust, vibration, and corrosion-heavy mining environments
- Build and maintain embedded and real-time software that bridges sensing, compute, and actuation, with attention to safety, latency, and reliability
- Develop simulation, logging, and data pipelines to test autonomy behavior and drive performance against safety and availability targets
- Build bench, rig, and field validation of the autonomy stack, debugging across the full software-hardware boundary
- Collaborate with hardware and controls engineers to integrate sensing, compute, and actuation into a complete vehicle
What You’ll Bring
- Bachelor's degree in Mechatronics, Robotics, Computer Science, Electrical, or related engineering discipline
- 2+ years developing autonomy, robotics, or embedded software, ideally for mobile robots or vehicles
- Strong proficiency in C++ and/or Python, and with a robotics middleware such as ROS/ROS 2
- Hands-on experience with sensor integration and fusion - LiDAR, cameras, radar, IMU, GNSS - and with perception, localization, or motion-planning algorithms
- Working knowledge of real-time and embedded systems, and of the controls and software-hardware integration that drive actuation
- Experience in autonomous vehicles, robotics, automotive, or off-highway equipment strongly preferred
Our culture is built on four principles:
Everyone Gets Home Safe. We never put speed or cost ahead of people.
Extreme Ownership. We take full responsibility for outcomes, relentlessly driving toward solutions.
Engineer Out Requirements, then Automate. We simplify, optimize, and then automate for scale.
Share Your Legos. We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.
Join us as we build the future of responsible mineral sourcing and supply!
Compensation Range: $140K - $180K
About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We’re reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
Role Overview
We are hiring Machine Learning Engineers (Autonomy) to build the autonomy and sensor-integration software that lets our mining vehicles perceive, decide, and drive themselves. In this role you will work on parts of the software and sensor integration that enables full mining autonomy — sensor fusion across LiDAR, cameras, radar, and IMU/GNSS; perception, localization, and mapping; and the autonomy stack that turns sensing into safe vehicle motion. You will carry work from architecture and algorithm design through implementation, simulation, and bench and field validation, working hand in hand with our hardware, controls, and systems-engineering teams. This is a hands-on, first-principles role for an engineer who wants to develop the world’s first fully autonomous mines.
What You’ll Do
- Develop autonomy software for autonomous mining vehicles focusing on one or more area: perception, SLAM, motion planning, and control
- Integrate and calibrate the sensing suite (LiDAR, cameras, radar, IMU, GNSS), implementing sensor fusion and time synchronization robust to dust, vibration, and corrosion-heavy mining environments
- Build and maintain embedded and real-time software that bridges sensing, compute, and actuation, with attention to safety, latency, and reliability
- Develop simulation, logging, and data pipelines to test autonomy behavior and drive performance against safety and availability targets
- Build bench, rig, and field validation of the autonomy stack, debugging across the full software-hardware boundary
- Collaborate with hardware and controls engineers to integrate sensing, compute, and actuation into a complete vehicle
What You’ll Bring
- Bachelor's degree in Mechatronics, Robotics, Computer Science, Electrical, or related engineering discipline
- 2+ years developing autonomy, robotics, or embedded software, ideally for mobile robots or vehicles
- Strong proficiency in C++ and/or Python, and with a robotics middleware such as ROS/ROS 2
- Hands-on experience with sensor integration and fusion - LiDAR, cameras, radar, IMU, GNSS - and with perception, localization, or motion-planning algorithms
- Working knowledge of real-time and embedded systems, and of the controls and software-hardware integration that drive actuation
- Experience in autonomous vehicles, robotics, automotive, or off-highway equipment strongly preferred
Our culture is built on four principles:
Everyone Gets Home Safe. We never put speed or cost ahead of people.
Extreme Ownership. We take full responsibility for outcomes, relentlessly driving toward solutions.
Engineer Out Requirements, then Automate. We simplify, optimize, and then automate for scale.
Share Your Legos. We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.
Join us as we build the future of responsible mineral sourcing and supply!
Compensation Range: $140K - $180K
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.