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Machine Learning Engineer Intern Jobs in Ann Arbor, MI

Machine Learning Engineer

Ann Arbor, MI ยท On-site

$120K - $180K/yr

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 ...

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach out to Navneet Pathak at / We are looking for a candidate who is responsible for predicting and/ or ...

Lead Machine Learning Engineer

Ann Arbor, MI ยท On-site

$100K - $132K/yr

They are seeking a Lead Machine Learning Engineer to enhance their Machine Learning capabilities for autonomous vehicles, focusing on designing and evaluating state-of-the-art models and leading ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Senior Machine Learning Engineer

Detroit, MI ยท Remote

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat ...

Senior Machine Learning Engineer

Detroit, MI ยท On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat ...

Machine Learning Engineer, App SW

Detroit, MI ยท Hybrid

$283K - $381K/yr

In order to set you up for success as a Machine Learning Engineer at Wayve, we're looking for the following skills and experience. Essential * Extensive and proven track record of shipping deep ...

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Machine Learning Engineer Intern information

See Ann Arbor, MI salary details

$24.9K

$41.7K

$86.1K

How much do machine learning engineer intern jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning engineer intern in Ann Arbor, MI is $41,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,000.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Ann Arbor, MI? The most popular types of Machine Learning Engineer jobs in Ann Arbor, MI are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Ann Arbor, MI? For Machine Learning Engineer Intern jobs in Ann Arbor, MI, the most frequently searched job titles are:
What cities near Ann Arbor, MI are hiring for Machine Learning Engineer Intern jobs? Cities near Ann Arbor, MI with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer Intern job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,661 per year, or $20 per hour.

Machine Learning Engineer

Mariana Minerals

Ann Arbor, MI โ€ข On-site

Full-time

Re-posted yesterday


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:
โ€ข Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers.
โ€ข Build and refine pieces of our training environmentsโ€”reward functions, observations, and action logicโ€”with guidance from senior engineers.
โ€ข Train control models, track and interpret their performance, and dig into why a model underperforms.
โ€ข Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges.
โ€ข Write clean, well-tested code and contribute to the services that put models into production.
โ€ข Partner with process and chemistry experts to understand the unit operations you're modeling.
Qualifications:
Required:
โ€ข 0โ€“4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computingโ€”or a strong recent graduate with demonstrated project depth.
โ€ข Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus.
โ€ข Proficiency in Python and comfort reading and debugging an existing codebase.
โ€ข Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions.
โ€ข 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.