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Reinforcement Learning Engineer Salary Jobs in Michigan

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

Our internal platform uses the same reinforcement learning toolkits that power self-driving ... Engineer Out Requirements, then Automate. We simplify, optimize, and then automate for scale. Share ...

... automation, reinforcement learning, virtual assistants and specialized programming ... Listed salary ranges may vary based on experience, qualifications, and local market. Also, some ...

New

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

... automation, reinforcement learning, virtual assistants and specialized programming ... Listed salary ranges may vary based on experience, qualifications, and local market. Also, some ...

New

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... Listed salary ranges may vary based on experience, qualifications, and local market. Also, some ...

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... Listed salary ranges may vary based on experience, qualifications, and local market. Also, some ...

About you: In order to set you up for success as a Machine Learning Engineer at Wayve, we're ... salary for this role ranges from $283,500 to $381,600, plus a competitive equity package. Actual ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Base Salary: $126,000 - $180,000 Diversity, Equity and Inclusion: At Canopy, we're on a mission to ...

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Reinforcement Learning Engineer Salary information

What is the difference between Reinforcement Learning Engineer Salary vs Machine Learning Engineer Salary?

Reinforcement Learning Engineer SalaryMachine Learning Engineer Salary
Average salary varies based on experience, location, and industry, typically ranging from $100,000 to $150,000 annually.Average salary also varies widely, generally between $90,000 and $140,000 annually, depending on similar factors.

Both roles require strong programming skills, knowledge of machine learning frameworks, and experience with data analysis. Reinforcement Learning Engineers focus specifically on developing algorithms for decision-making tasks, while Machine Learning Engineers work on broader AI models. Salaries are comparable, with Reinforcement Learning Engineers often earning slightly more in specialized industries.

What is the salary of reinforcement learning engineer?

The salary of a reinforcement learning engineer typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often including benefits such as stock options and bonuses.

What cities in Michigan are hiring for Reinforcement Learning Engineer Salary jobs?

Cities in Michigan with the most Reinforcement Learning Engineer Salary job openings:

Machine Learning Engineer

Ann Arbor, MI • On-site

Full-time

Re-posted 18 days ago


Job description

Job Summary:
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying critical minerals for modern energy and technology. They are seeking a Machine Learning Engineer to develop and improve machine learning systems for mineral refining facilities, working with real data to enhance operational efficiency.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Company:
Mariana Minerals develops mineral projects using technology to supply critical minerals for energy, AI, and defense applications. Founded in 2022, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.