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 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
ML Engineer Job Roles in Michigan
See all 264+ 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.