Machine Learning Engineer Visa Sponsorship Jobs in Michigan
Michigan's machine learning engineer job market is anchored by automotive technology, with companies like Ford, General Motors, and Stellantis investing heavily in AI-driven vehicle systems. Detroit and Ann Arbor are the primary hiring hubs, with the University of Michigan feeding a strong talent pipeline. Many Michigan employers actively sponsor H-1B visas for qualified ML engineers.
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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 Engineer Job Roles in Michigan
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Search Machine Learning Engineer Jobs in MichiganMachine Learning Engineer Jobs in Michigan: Frequently Asked Questions
Which companies in Michigan sponsor visas for machine learning engineers?
Ford Motor Company, General Motors, and Stellantis are among the most active visa sponsors for machine learning engineers in Michigan, primarily through their AI, autonomous vehicle, and connected mobility divisions. Beyond automotive, companies like Rocket Companies, Duo Security (now part of Cisco), and Blue Cross Blue Shield of Michigan have also filed H-1B petitions for ML-related roles. University of Michigan and Michigan State University sponsor ML engineers in research capacities as well.
Which visa types are most common for machine learning engineer roles in Michigan?
The H-1B is by far the most common visa for machine learning engineers in Michigan, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, data science, or a related field. OPT and STEM OPT are also widely used, particularly by graduates from the University of Michigan and Michigan State. Some researchers may enter on J-1 visa or O-1 visas depending on their academic or distinguished career profile.
Which cities in Michigan have the most machine learning engineer sponsorship jobs?
Ann Arbor is Michigan's leading city for ML engineering roles, driven by the University of Michigan's research ecosystem and a growing cluster of AI-focused startups and corporate R&D labs. Detroit and the broader Metro Detroit area follow closely, anchored by automotive OEMs and their technology subsidiaries. Dearborn, home to Ford's headquarters, and Troy, which hosts several automotive supplier offices, round out the top locations for sponsored ML positions.
How to find machine learning engineer visa sponsorship jobs in Michigan?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and filters machine learning engineer roles in Michigan by employers with a documented history of H-1B sponsorship. Rather than manually researching which Michigan companies have sponsored visas in the past, you can browse verified sponsorship jobs in one place. Focusing on automotive technology firms in Metro Detroit and research-driven employers near Ann Arbor will give you the strongest results.
Are there any Michigan-specific considerations for machine learning engineers pursuing visa sponsorship?
Michigan's automotive industry context matters when positioning yourself for sponsorship. ML engineers here are often expected to have exposure to real-time systems, sensor data, or computer vision, reflecting the autonomous and connected vehicle focus of major employers. The University of Michigan's strong industry partnerships mean many sponsored roles arise from research collaborations. Prevailing wage requirements apply statewide under DOL rules, so employers must pay the applicable wage for the Detroit or Ann Arbor metro area depending on the work location.
What is the prevailing wage for sponsored machine learning 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.