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Mining Engineer Jobs in Michigan (NOW HIRING)

Stefanini

Machine Learning Engineer

Dearborn, MI · On-site

Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science ... engineers, software engineers, and other data scientists to test pipelines, validate outputs, and ...

The State Group Automation

Controls Engineer

Troy, MI · On-site

$79K - $102K/yr

Our expertise spans robotic simulation, electrical and software engineering, and Industry 4.0 integration, serving clients across industries such as automotive, aerospace, mining, and alternative ...

State Group Automation

Controls Engineer

Troy, MI · On-site

$79K - $102K/yr

Our expertise spans robotic simulation, electrical and software engineering, and Industry 4.0 integration, serving clients across industries such as automotive, aerospace, mining, and alternative ...

State Group Automation

Controls Engineer

Troy, MI · On-site

$79K - $102K/yr

Our expertise spans robotic simulation, electrical and software engineering, and Industry 4.0 integration, serving clients across industries such as automotive, aerospace, mining, and alternative ...

Fletcher Group Automation

Controls Engineer

Troy, MI

$79K - $102K/yr

Our expertise spans robotic simulation, electrical and software engineering, and Industry 4.0 integration, serving clients across industries such as automotive, aerospace, mining, and alternative ...

State Group Automation

Robotics Engineer

Troy, MI · On-site

Our expertise spans robotic simulation, electrical and software engineering, and Industry 4.0 integration, serving clients across industries such as automotive, aerospace, mining, and alternative ...

The State Group Automation

Robotics Engineer

Troy, MI · On-site

Our expertise spans robotic simulation, electrical and software engineering, and Industry 4.0 integration, serving clients across industries such as automotive, aerospace, mining, and alternative ...

State Group Automation

Robotics Engineer

Troy, MI · On-site

Our expertise spans robotic simulation, electrical and software engineering, and Industry 4.0 integration, serving clients across industries such as automotive, aerospace, mining, and alternative ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

By mining driving logs for long-tail events, we provide the foundational data required for safe ... Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding ...

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All JobsMining Engineer JobsMining Engineer Jobs in Michigan

Mining Engineer information

See Michigan salary details

$28.8K

$77.7K

$123.8K

How much do mining engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for mining engineer in Michigan is $77,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $95,000.00 per year, depending on experience, location, and employer.

What is the difference between Mining Engineer vs Geologist?

AspectMining EngineerGeologist
Required CredentialsBachelor's in Mining Engineering, Professional Engineer (PE) license often preferredBachelor's or Master's in Geology or Earth Sciences, relevant certifications
Work EnvironmentMining sites, construction sites, engineering officesResearch labs, field sites, environmental agencies
Industry UsageDesigning and managing mining operations, ensuring safety and efficiencyStudying earth materials, assessing mineral deposits, environmental impact

Mining Engineers focus on planning, designing, and managing mining operations, ensuring safety and efficiency. Geologists analyze earth materials and assess mineral deposits. While both roles work closely in the mining industry, Mining Engineers handle the operational side, whereas Geologists focus on exploration and analysis.

What are some common challenges Mining Engineers face when working on-site, and how can they prepare for them?

Mining Engineers often encounter challenges such as adapting to remote or harsh work environments, ensuring compliance with rigorous safety regulations, and balancing productivity targets with environmental sustainability. Effective communication and collaboration with geologists, equipment operators, and environmental specialists are crucial for overcoming these challenges. Preparing by gaining hands-on experience, staying current with safety protocols, and developing strong problem-solving skills can help Mining Engineers succeed and adapt to dynamic site conditions.

What are the key skills and qualifications needed to thrive as a Mining Engineer, and why are they important?

To thrive as a Mining Engineer, you need a solid background in mining engineering principles, geology, and mathematics, typically supported by a bachelor’s degree in mining engineering or a related field. Familiarity with mining software such as Surpac, MineSight, or AutoCAD, and relevant certifications like a Professional Engineer (PE) license, are often required. Strong problem-solving abilities, communication skills, and attention to safety help distinguish top performers in this role. These skills ensure efficient mine design, regulatory compliance, and safe, productive operations in complex mining environments.

What Is a Mining Engineer?

A mining engineer works for a mining company. It’s your job to develop more efficient methods to locate and extract minerals and other natural resources from the earth. Your typical duties include maintaining all equipment, developing cost estimates and analyses, surveying underground and surface mining sites, evaluating ore deposits, and working with management on all safety issues. You are also involved with developing safe, efficient, and environmentally-friendly mining techniques. Many mining engineers take on management duties, including communicating with workers and vendors, conducting mining exploration, and overseeing transportation.

What are mining engineers?

Mining engineers are professionals who design, develop, and manage systems for extracting minerals from the earth safely, efficiently, and sustainably. They are involved in every stage of a mining project, from exploration and feasibility studies to mine design, operations, and closure. Mining engineers work to optimize the extraction process, ensure environmental compliance, and maintain the safety of workers and surrounding communities. Their expertise is critical in balancing economic, environmental, and technical factors in mining operations.
More about Mining Engineer jobs
What are the most commonly searched types of Mining Engineer jobs in Michigan? The most popular types of Mining Engineer jobs in Michigan are:
What are popular job titles related to Mining Engineer jobs in Michigan? For Mining Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Mining Engineer jobs in Michigan look for? The top searched job categories for Mining Engineer jobs in Michigan are:
What cities in Michigan are hiring for Mining Engineer jobs? Cities in Michigan with the most Mining Engineer job openings:
What are popular job titles related to Mining Engineer jobs in MI? For Mining Engineer jobs in MI, the most frequently searched job titles are:
Mining Engineer jobs near you
Infographic showing various Mining Engineer job openings in Michigan as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $77,732 per year, or $37.4 per hour.

Staff Machine Learning Engineer

Mariana Minerals

Ann Arbor, MI • On-site

$160K - $200K/yr

Full-time

Posted 7 days ago

Job description

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.
The Role
Mariana Minerals is building the critical minerals supply chain from the ground up-and we're looking for a Staff Machine Learning Engineer to help make it autonomous.
We're not a software company selling tools to mining operators. We are a mining company that builds software. Mariana designs, builds, commissions, and operates our own mines and refineries. We develop proprietary chemical processes and run them at lab, pilot, and commercial scale. Today, we're producing battery-grade lithium salts from real oil and gas wastewater in our facilities. Our first commercial-scale lithium production facility, Lithium One, is targeting initial production in Q1 of 2027.
As a Staff Machine Learning Engineer at Mariana, you'll set the technical direction for how we make refining autonomous. You'll define how control models are built, validated, and trusted on live equipment across our circuits and facilities-and you'll personally take on the hardest modeling problems standing between us and fully autonomous operations. Your decisions will show up in real recovery rates, energy consumption, reagent usage, and uptime across every plant we run.
The Tech
This is some of the most interesting applied AI work happening today.
Our internal platform, uses the same reinforcement learning toolkits that power self-driving vehicles and humanoid robots-but applied to autonomous, short-interval control of mineral refining circuits. Models adjust operating set points and configurations in real time, optimizing across lithium recovery, reagent consumption, energy intensity, and equipment uptime simultaneously.
The environment is noisy and non-stationary: wastewater compositions shift, ore grades change, equipment ages. The system must continuously adapt. The end goal is fully autonomous refining operations. When you ship here, you can literally watch the physics change.
Under the hood, that means training control models inside physically realistic simulators of our process units, then closing the gap against real plant data before anything touches live equipment.
What You'll Do
  • 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.
Desired Qualifications
  • 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.
Why This Role
We own the projects, generate the data, and close the loop. Every facility we build makes the software smarter-and the next facility faster and cheaper.
Mining is one of the last major industrial sectors that hasn't been rebuilt with modern software. The opportunity here isn't a feature gap-it's entire workflows and systems that don't exist yet.
Your work will directly shape how critical minerals are produced at scale in the coming decades. This is a role for someone who wants to set the technical direction of an entire industrial-AI platform while it's still being invented-not maintain one that already exists.
Our culture is built on three principles:
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.

Apply