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Internship Machine Learning Postdoc Jobs in Livonia, MI

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

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 ...

CAE Engineering Intern - Fall 2026

Livonia, MI · On-site

$15.75 - $20.25/hr

Prior internship experience in mechanical engineering * Knowledge of machine learning / artificial intelligence applications in engineering * Experience using CAE software (Nastran, Abaqus, ANSYS)

CAE Engineering Intern - Fall 2026

Livonia, MI · On-site

$15.75 - $20.25/hr

Prior internship experience in mechanical engineering * Knowledge of machine learning / artificial intelligence applications in engineering * Experience using CAE software (Nastran, Abaqus, ANSYS)

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Internship Machine Learning Postdoc information

See Livonia, MI salary details

$23.9K

$39.9K

$82.4K

How much do internship machine learning postdoc jobs pay per year?

As of Aug 22, 2026, the average yearly pay for internship machine learning postdoc in Livonia, MI is $39,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $43,000.00 per year, depending on experience, location, and employer.

Machine Learning Engineer

Mariana Minerals

Ann Arbor, MI • On-site

Full-time

Re-posted 12 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.