ZipRecruiter

Log In

1

Internship Mineralogy Jobs (NOW HIRING)

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

About Mariana Minerals Mariana Minerals is a software-first, vertically integrated minerals company ... Desired Qualifications * 2-8+ years of experience (including internships or research) in machine ...

previous pagenext page

Showing results 21-40

All JobsMineralogy JobsInternship Mineralogy Jobs

Internship Mineralogy information

See salary details

$8

$15

$21

How much do internship mineralogy jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for internship mineralogy in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What types of projects or hands-on experiences can I expect during a mineralogy internship?

As a Mineralogy intern, you'll typically engage in a blend of laboratory analyses, field sampling, and data interpretation under the guidance of experienced mineralogists or geologists. You might assist with identifying mineral samples, preparing thin sections, conducting X-ray diffraction or electron microscopy, and recording results for ongoing research projects. Interns often work closely with both academic and technical staff, gaining exposure to real-world mineral analysis techniques and collaborative research environments. This role offers a valuable opportunity to develop practical skills and establish connections for future career growth in geosciences.

What is the difference between Internship Mineralogy vs Geology Intern?

AspectInternship MineralogyGeology Intern
Required CredentialsBasic geology or mineralogy coursework, some internships may require related certificationsSimilar; often requires geology coursework, fieldwork experience
Work EnvironmentLaboratories, mineral analysis facilities, field sites focused on mineral depositsField sites, laboratories, exploration companies, research institutions
Employer & Industry UsageMining companies, mineral exploration firms, research labsMining, environmental consulting, research institutions
Common Search & Comparison IntentYesYes

Internship Mineralogy and Geology Intern roles share similarities in required education and work environments, often overlapping in industry usage. However, Internship Mineralogy focuses specifically on mineral identification and analysis, while Geology Internships encompass broader earth science topics. Both are valuable for gaining industry experience in mineral exploration and research.

What are the key skills and qualifications needed to thrive in a mineralogy internship, and why are they important?

To thrive as an Internship Mineralogy, you need a solid background in geology or earth sciences, with coursework or experience in mineral identification and analysis. Familiarity with laboratory techniques, microscopes, X-ray diffraction (XRD), and mineral database software is typically required. Strong attention to detail, analytical thinking, and effective written and verbal communication help interns excel in collaborative research and reporting. These skills are essential for accurate mineral analysis, successful contribution to research projects, and development of professional expertise in the field.

What is an internship in mineralogy?

An internship in mineralogy is a temporary position that provides students or recent graduates with practical experience working in the study of minerals, their properties, classifications, and applications. Interns typically assist with laboratory analyses, fieldwork, data collection, and research projects under the supervision of professional mineralogists. This hands-on experience helps interns develop technical skills and gain insight into potential career paths within geology, mining, or materials science.
More about Internship Mineralogy jobs
What cities are hiring for Internship Mineralogy jobs? Cities with the most Internship Mineralogy job openings:
What are the most commonly searched types of Mineralogy jobs? The most popular types of Mineralogy jobs are:
What states have the most Internship Mineralogy jobs? States with the most job openings for Internship Mineralogy jobs include:
What job categories do people searching Internship Mineralogy jobs look for? The top searched job categories for Internship Mineralogy jobs are:
Internship Mineralogy jobs near you
Infographic showing various Internship Mineralogy job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 63% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Machine Learning Engineer

Mariana Minerals

Ann Arbor, MI • On-site

$120K - $180K/yr

Full-time

Re-posted 19 hours 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