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Machine Learning Robotics Jobs in Michigan (NOW HIRING)

Optimal Inc.

Robotics software Engineer

Warren, MI · On-site

... machine learning for robotics Experience with collaborative robots (Cobots) or industrial automation systems Experience deploying robotics solutions in manufacturing or production environments ...

Optimal Inc.

Robotics software Engineer

Warren, MI · On-site

... machine learning for robotics Experience with collaborative robots (Cobots) or industrial automation systems Experience deploying robotics solutions in manufacturing or production environments ...

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

You'll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build ... About you: In order to set you up for success as a Machine Learning Engineer at Wayve, we're ...

Torc Robotics

ML Engineer, I - App Engine

Ann Arbor, MI · On-site

... machine learning applications, ensuring efficient and safe operations in autonomous trucking ... robotic or vehicle systems. • Knowledge of computer architecture principles such as pipelining ...

AceStack LLC

Robotics Data Engineer

Warren, MI

$107K - $128K/yr

Warren, MI FTE • 3+ years of experience in data engineering, machine learning systems, robotics, or related fields. • Master's degree in engineering, Computer Science, Data Science, or equivalent ...

Magna

Robotics AI Algorithm- R&D Summer 2026

Troy, MI

... Machine Learning, Generative AI based solutions for Robotics applications. PHYSICAL DEMANDS / WORK ... ENVIRONMENT: Normal amount of sitting or standing, average mobility to move around an office (Troy ...

Magna

Robotics AI Algorithm- R&D Summer 2026

Troy, MI · On-site

... Machine Learning, Generative AI based solutions for Robotics applications. PHYSICAL DEMANDS / WORK ... ENVIRONMENT: • Normal amount of sitting or standing, average mobility to move around an office ...

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Machine Learning Robotics information

See Michigan salary details

$22.2K

$37.1K

$76.7K

How much do machine learning robotics jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning robotics in Michigan is $37,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,300.00 and $40,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Robotics position, and why are they important?

To excel in Machine Learning Robotics, a strong background in computer science, robotics, and machine learning algorithms, often supported by a relevant degree (such as in engineering or computer science), is essential. Familiarity with programming languages like Python or C++, frameworks such as TensorFlow or ROS (Robot Operating System), and experience with simulation tools are highly valuable, and certifications in AI or robotics can further enhance employability. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-disciplinary teams help professionals stand out. These capabilities are crucial for designing, developing, and refining intelligent robotic systems that perform reliably in real-world environments.

What are some common challenges faced by professionals working in Machine Learning Robotics?

Professionals in Machine Learning Robotics often encounter challenges like integrating machine learning models with robotic hardware, ensuring reliable performance in unpredictable real-world settings, and managing computational limitations on embedded systems. Addressing these challenges usually requires creative problem-solving and close collaboration with hardware engineers, software developers, and data scientists. You may also need to continuously refine models and testing processes based on real-time feedback and evolving project goals. This dynamic environment makes the work both demanding and highly rewarding for those eager to push the boundaries of automation and intelligent systems.

What is a Machine Learning Robotics job?

A Machine Learning Robotics job involves developing algorithms that enable robots to learn from data and improve their performance over time. Professionals in this field work on applications such as autonomous navigation, robotic perception, and human-robot interaction. They use techniques like deep learning, reinforcement learning, and computer vision to enhance a robot's ability to understand and interact with its environment. This role typically requires expertise in machine learning, robotics, and software development, along with strong problem-solving skills.

What are the most commonly searched types of Machine Learning Robotics jobs in Michigan? The most popular types of Machine Learning Robotics jobs in Michigan are:
What are popular job titles related to Machine Learning Robotics jobs in Michigan? For Machine Learning Robotics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Machine Learning Robotics jobs in Michigan look for? The top searched job categories for Machine Learning Robotics jobs in Michigan are:
What cities in Michigan are hiring for Machine Learning Robotics jobs? Cities in Michigan with the most Machine Learning Robotics job openings:
Machine Learning Robotics jobs near you
Infographic showing various Machine Learning Robotics job openings in Michigan as of June 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $37,116 per year, or $17.8 per hour.

Staff Machine Learning Engineer

Mariana Minerals

Ann Arbor, MI • On-site

Full-time

Posted 8 days ago

Job description

Job Summary:
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. They are seeking a Staff Machine Learning Engineer to set the technical direction for autonomous refining operations, focusing on building, validating, and optimizing control models across their facilities. This role involves solving complex modeling problems and collaborating with leadership to shape the autonomy roadmap.
Responsibilities:
• Own the autonomy roadmap across multiple circuits and facilities—deciding which unit operations to automate next and where investment in simulation and modeling pays off.
• Define how control models are validated and certified safe to deploy on real refining equipment, including how the gap between simulation and reality is measured and closed.
• Set the standards for our simulators and our modeling stack, so the whole team builds controllers that are reproducible, safe, and grounded in real project economics.
• Personally solve the hardest modeling and control problems—non-stationarity, safety constraints, and multi-objective optimization across recovery, reagent use, energy, and uptime.
• Partner with leadership on major capital and operational decisions, translating techno-economic and process insight into strategy.
• Multiply the team through technical direction, design review, and mentoring of engineers at every level—and partner with our data engineering leaders to shape the data platform the autonomy roadmap requires. You own the modeling and the on-plant outcome; they own the backbone.
Qualifications:
Required:
• 8+ years in machine learning engineering (or an exceptional 6+ with demonstrated org-level technical leadership), including production ML or control systems that ran in the real world.
• A track record of setting technical direction for ML systems in physical, industrial, robotics, or control domains.
• Deep expertise in reinforcement learning under non-stationarity, simulation and digital twins, and closing sim-to-real gaps—plus the judgment to know when a simpler approach wins.
• Demonstrated ability to de-risk ambiguous, never-been-done problems: framing the objective, the success metric, and the path for others.
• Strong cross-functional influence with both technical leadership and domain experts—chemists, metallurgists, process engineers, and geologists.
• A builder at heart. Staff engineers here still ship.
Company:
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying the minerals critical to modern energy, AI, and defense technologies. Founded in , the company is headquartered in San Francisco, CA, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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