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Internship Solutions Engineer Jobs in Michigan (NOW HIRING)

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

Desired Qualifications * 0-4 years of experience (including internships or research) in machine ... Extreme Ownership - We take full responsibility for outcomes, relentlessly driving toward solutions.

Aptiv

Finance, Internship

Troy, MI · On-site

$17 - $22/hr

... engineering and enabling solutions for how we'll move tomorrow. Aptiv employs over 200,00 people ... Your Role Aptiv's Finance Leadership Development Internship is a program aimed providing interns ...

Danaher

Software Automation Internships

Allendale, MI · On-site

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Developing and executing test strategies for automation solutions Who This Is For * Students ...

Danaher

Software Automation Internships

Kalamazoo, MI · On-site

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Developing and executing test strategies for automation solutions Who This Is For * Students ...

Danaher

Software Automation Internships

Warren, MI · On-site

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Developing and executing test strategies for automation solutions Who This Is For * Students ...

Danaher

Software Automation Internships

Lansing, MI · On-site

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Developing and executing test strategies for automation solutions Who This Is For * Students ...

Danaher

Software Automation Internships

Detroit, MI · On-site

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Developing and executing test strategies for automation solutions Who This Is For * Students ...

Danaher

Software Automation Internships

Flint, MI · On-site

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Developing and executing test strategies for automation solutions Who This Is For * Students ...

Danaher

Software Automation Internships

Ann Arbor, MI · On-site

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Developing and executing test strategies for automation solutions Who This Is For * Students ...

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All JobsSolutions Engineer JobsInternship Solutions Engineer JobsInternship Solutions Engineer Jobs in Michigan

Internship Solutions Engineer information

What does an Internship Solutions Engineer do?

An Internship Solutions Engineer assists the engineering and sales teams by helping to design, implement, and support technical solutions for clients. They work on projects such as developing product demos, troubleshooting customer issues, and creating technical documentation. Interns in this role gain hands-on experience in both technical and client-facing environments, helping bridge the gap between customer needs and company products. Typically, they collaborate with cross-functional teams to ensure solutions meet client requirements and contribute to the overall success of the business.

What is the difference between Internship Solutions Engineer vs Solutions Engineer?

AspectInternship Solutions EngineerSolutions Engineer
CredentialsTypically pursuing or recent graduate, some technical courseworkBachelor's degree in engineering, CS, or related field; experience preferred
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time, client-facing, technical problem-solving
Employer & IndustryTech companies, startups, or consulting firmsTechnology, software, hardware, and consulting firms
Search & Comparison IntentUnderstanding entry-level roles, internships, career pathTechnical solutions, client engagement, career progression

The main difference is that an Internship Solutions Engineer is an entry-level, learning-focused role designed for students or recent graduates, while a Solutions Engineer is a full-time professional responsible for technical client solutions and support. Interns gain foundational experience, whereas Solutions Engineers handle complex projects and client interactions.

What are the key skills and qualifications needed to thrive as an Internship Solutions Engineer, and why are they important?

To thrive as an Internship Solutions Engineer, you need a foundation in computer science, problem-solving abilities, and a basic understanding of software development principles, often supported by coursework or prior technical internships. Familiarity with programming languages (such as Python, Java, or JavaScript), cloud platforms, and common tools like Git is typically expected. Strong communication, teamwork, and adaptability help you collaborate with diverse teams and effectively convey technical concepts. These skills are vital for delivering effective technical solutions, supporting clients, and contributing to project success in dynamic environments.

What types of projects and responsibilities can an Internship Solutions Engineer expect during their internship?

As an Internship Solutions Engineer, you can expect to work on a variety of hands-on projects that may include supporting senior engineers in designing technical solutions, assisting with customer demos, and helping to troubleshoot product issues. Interns often collaborate closely with sales, product, and development teams to understand client requirements and propose tailored solutions. You may also be involved in documenting technical processes and participating in team meetings to gain exposure to real-world client interactions. This role is an excellent opportunity to develop both technical and communication skills while contributing meaningfully to the team.
What are the most commonly searched types of Solutions Engineer jobs in Michigan? The most popular types of Solutions Engineer jobs in Michigan are:
What are popular job titles related to Internship Solutions Engineer jobs in Michigan? For Internship Solutions Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Internship Solutions Engineer jobs in Michigan look for? The top searched job categories for Internship Solutions Engineer jobs in Michigan are:
What cities in Michigan are hiring for Internship Solutions Engineer jobs? Cities in Michigan with the most Internship Solutions Engineer job openings:
Internship Solutions Engineer jobs near you
Infographic showing various Internship Solutions Engineer job openings in Michigan as of July 2026, with employment types broken down into 30% Internship, 60% Full Time, and 10% Part Time. Highlights an 100% In-person job distribution.

Machine Learning Engineer

Mariana Minerals

Ann Arbor, MI • On-site

$120K - $160K/yr

Full-time

Posted 8 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
  • 0-4 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.

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