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Live In Oil Refinery Operator Jobs in Michigan (NOW HIRING)

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

... operating plants. Your work won't live behind dashboards or proxy metrics; you'll see its impact in ... The end goal is fully autonomous refining operations. When you ship here, you can literally watch ...

Schaeffer Manufacturing-Schaeffer's Oil

MI

Join Schaeffer Oil -- a trusted American-made brand with over 185+ years of proven performance in ... Hands-on technical and sales training -- online, live, and in-field. * Ongoing access to product ...

Fast Eddies Car Wash / Oil Change

Be Seen First

Car Wash Attendant/ Oil change specialist

Petoskey, MI · On-site

$13 - $14/hr

Family owned and operated for over 40 years, secure and stable employment, oil change and car wash ... is the leader in custom, convenient car wash and detailing services. We have been providing ...

Fast Eddies Car Wash / Oil Change

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Car Wash Attendant/ Oil change specialist

Petoskey, MI · On-site

$13 - $14/hr

Family owned and operated for over 40 years, secure and stable employment, oil change and car wash ... is the leader in custom, convenient car wash and detailing services. We have been providing ...

Oakgov

Boiler Operator I

Pontiac, MI

As a Boiler Operator, you'll play an essential role in maintaining the Oakland County Central Steam ... in a safety-focused environment. What You'll Do Independently operate and monitor high-pressure oil ...

Amrize

Equipment Operator

Niles, MI · On-site

$17.25 - $23.75/hr

Equipment Operator Driven by our purpose: Building progress for people and the planet. We are ... live in. Did we spark your interest? Build your future with us and apply! HR Contact:

Oakland County, MI

Boiler Operator I-025

Pontiac, MI · On-site

As a Boiler Operator, you'll play an essential role in maintaining the Oakland County Central Steam ... water level in gas and oil-fired boilers by monitoring pressure and water level gauges and by ...

DCO Energy, LLC

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Wastewater Treatment Plant Operator

Flint, MI · On-site

$30 - $31/hr

Monitor oil shipments and oil storage tanks. Facilitate lab sampling for compliance. Have knowledge ... Looks for defects in equipment, faulty operating, poor housekeeping, fire hazards, unsafe working ...

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All JobsLive In Oil Refinery Operator JobsLive In Oil Refinery Operator Jobs in Michigan

Live In Oil Refinery Operator information

What is a live in oil refinery operator?

Live In Oil Refinery Operators are professionals who oversee and manage the daily operations of equipment and processes within an oil refinery, often residing on-site or nearby for rapid response to operational needs. Their responsibilities include monitoring control systems, troubleshooting problems, ensuring safety protocols are followed, and maintaining optimal production levels. This role requires strong technical knowledge, attention to detail, and the ability to work in shifts, sometimes in challenging environments. Operators play a critical role in ensuring the refinery operates efficiently and safely at all times.

What are the key skills and qualifications needed to thrive as a live in oil refinery operator?

To thrive as a Live In Oil Refinery Operator, you need strong technical knowledge of refinery processes, safety procedures, and mechanical systems, typically supported by a high school diploma or technical certification in process technology. Familiarity with distributed control systems (DCS), programmable logic controllers (PLCs), and safety management systems is often required. Attention to detail, problem-solving, and effective communication are crucial soft skills for monitoring operations and responding to emergencies. These skills and qualities are vital for ensuring safe, efficient, and continuous refinery operations while minimizing risk to personnel and equipment.

What are some common challenges faced by live in oil refinery operators, and how can new hires prepare for them?

Live In Oil Refinery Operators often face challenges such as adapting to a shift-based schedule, maintaining safety protocols in a high-risk environment, and ensuring efficient equipment operation. New hires can prepare by familiarizing themselves with industry-standard safety procedures, developing strong communication skills for teamwork, and being proactive about ongoing technical training. Additionally, adjusting to living on-site requires flexibility and effective time management to balance work and personal life.

What is the difference between Live In Oil Refinery Operator vs Oil Refinery Technician?

AspectLive In Oil Refinery OperatorOil Refinery Technician
CertificationsOSHA safety training, refinery operation certificationsTechnical certifications, safety training
Work EnvironmentOn-site, 24/7 shift work, living at the facilityOn-site or nearby, regular shifts
Job RoleOperate and monitor refinery processes, live on-siteMaintain, troubleshoot equipment, support operations

Live In Oil Refinery Operators typically live at the refinery, overseeing daily operations and ensuring safety around the clock. Oil Refinery Technicians focus on maintaining and repairing equipment, often working regular shifts. Both roles require safety certifications and technical knowledge, but the live-in aspect distinguishes the operator's on-site, 24/7 responsibilities from the technician's more technical support role.

How do I become a live in oil refinery operator?

To become a live-in oil refinery operator, candidates typically need a high school diploma or equivalent, along with technical training or an associate degree in process technology or a related field. Relevant skills include understanding safety protocols, operating control systems, and performing routine maintenance; certifications such as OSHA safety training or process operator licenses can also be beneficial. On-the-job training is common, and the role often requires working in shifts within a refinery environment.

How much do live in oil refinery operators make?

Live-in oil refinery operators in Texas typically earn an average annual salary between $60,000 and $80,000, depending on experience and certifications. They often work long shifts in a demanding environment, with opportunities for overtime and advancement based on skills and performance.

Is it hard to get a job at a live in oil refinery operator?

Securing a position as a live-in oil refinery operator can be competitive and typically requires relevant experience, technical skills, and safety certifications. Employers often look for candidates with knowledge of refinery processes, strong attention to safety protocols, and the ability to work in demanding environments, which can make the hiring process challenging for some applicants.

What are the most commonly searched types of Oil Refinery Operator jobs in Michigan?

The most popular types of Oil Refinery Operator jobs in Michigan are:

What cities in Michigan are hiring for Live In Oil Refinery Operator jobs?

Cities in Michigan with the most Live In Oil Refinery Operator job openings:

Live In Oil Refinery Operator jobs near you
Infographic showing various Live In Oil Refinery Operator job openings in Michigan as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 100% In-person job distribution.

Machine Learning Engineer

Mariana Minerals

Ann Arbor, MI • On-site

$120K - $180K/yr

Full-time

Re-posted 11 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 Machine Learning Engineers 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 Machine Learning Engineer at Mariana, you'll help build and improve the machine learning systems that control our mineral refining facilities. You'll start with well-scoped problems inside our simulators and training pipelines-and ramp quickly toward owning models that run on real, operating plants. Your work won't live behind dashboards or proxy metrics; you'll see its impact in real recovery rates, energy consumption, reagent usage, and uptime.
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
  • Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers.
  • Build and refine pieces of our training environments-reward functions, observations, and action logic-with guidance from senior engineers.
  • Train control models, track and interpret their performance, and dig into why a model underperforms.
  • Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges.
  • Write clean, well-tested code and contribute to the services that put models into production.
  • Partner with process and chemistry experts to understand the unit operations you're modeling.
Desired Qualifications
  • 2-8+ years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing-or a strong recent graduate with demonstrated project depth.
  • Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus.
  • Proficiency in Python and comfort reading and debugging an existing codebase.
  • Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions.
  • A self-starter who asks good questions, ships, and escalates blockers early.
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.
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