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Machine Learning Technical Project Manager Jobs in Michigan

Machine Learning Engineer

Ann Arbor, MI ยท On-site

$120K - $160K/yr

As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ... Why This Role We own the projects, generate the data, and close the loop. Every facility we build ...

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... Collaborate with business and technical stakeholders to translate requirements into AI- driven ...

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... AIPGEE, Advance data Migration, API, Data Management Experience Required: * 5+ years of experience ...

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... AIPGEE, Advance data Migration, API, Data Management Experience Required:5+ years of experience in ...

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... AIPGEE, Advance data Migration, API, Data Management Experience Required: * 5+ years of experience ...

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... AIPGEE, Advance data Migration, API, Data Management Experience Required: * 5+ years of experience ...

Clinton Machine is a global leader in providing innovative automation solutions for the metal ... Technical Skills: * Software: Proficiency in MS Project or equivalent PM software; familiarity with ...

Apply statistical analysis and machine learning techniques to solve business and operational ... The role will require strong organizational and project management skills to facilitate project ...

Machine Learning Engineer 3

Dearborn, MI ยท On-site

$105K - $126K/yr

... management. Ensure AI solutions are reliable, scalable, secure, and optimized for production ... Collaborate closely with business and technical stakeholders to identify opportunities and ...

Sandalwood Technical Project Manager When you join the Sandalwood team, you'll join an engaging and inclusive group with a mission to help our customers identify, assess, and reduce work-related ...

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Machine Learning Technical Project Manager information

What is the difference between Machine Learning Technical Project Manager vs Data Scientist?

AspectMachine Learning Technical Project ManagerData Scientist
Required CredentialsBachelor's or Master's in CS, Engineering, or related; PMP or Agile certificationsBachelor's, Master's, or PhD in Data Science, Statistics, or related
Work EnvironmentProject teams, cross-functional collaboration, managing ML projectsData analysis, model development, research-focused
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding project management roles in MLUnderstanding data analysis and modeling roles

The main difference between a Machine Learning Technical Project Manager and a Data Scientist lies in their focus. The project manager oversees ML projects, coordinating teams and ensuring timely delivery, while the data scientist focuses on analyzing data, building models, and deriving insights. Both roles often collaborate but serve distinct functions within ML initiatives.

What are popular job titles related to Machine Learning Technical Project Manager jobs in Michigan? For Machine Learning Technical Project Manager jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Machine Learning Technical Project Manager jobs in Michigan look for? The top searched job categories for Machine Learning Technical Project Manager jobs in Michigan are:
What cities in Michigan are hiring for Machine Learning Technical Project Manager jobs? Cities in Michigan with the most Machine Learning Technical Project Manager job openings:

Machine Learning Engineer

Mariana Minerals

Ann Arbor, MI โ€ข On-site

$120K - $160K/yr

Full-time

Posted 16 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.
Why Join Us?
At Mariana Minerals, you'll be part of a mission-driven team reshaping the way critical minerals are sourced and supplied globally. You'll have the autonomy to make big decisions, the tool
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.
Mariana is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.