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Machine Learning Co Op Jobs in Michigan (NOW HIRING)

Kiongroup

Controls Engineer - Co-Op

Grand Rapids, MI · On-site

$80K - $103K/yr

Dematic is looking to build upon our Co-Op Program and bring on a student for our Controls ... Candidates who are committed to personal growth and continuous learning. * Future Leaders:

Kion Group AG

Controls Engineer - Co-Op

Grand Rapids, MI · On-site

$80K - $103K/yr

Dematic is looking to build upon our Co-Op Program and bring on a student for our Controls ... Candidates who are committed to personal growth and continuous learning. * Future Leaders:

Kiongroup

Controls Engineer - Co-Op

Grand Rapids, MI

$80K - $103K/yr

Dematic is looking to build upon our Co-Op Program and bring on a student for our Controls ... Candidates who are committed to personal growth and continuous learning. * Future Leaders:

Nexteer Automotive Corporation

Engineering Co-Op

Saginaw, MI · On-site

$15.50 - $20.25/hr

... learning in a professional environment while gaining handson experience and valuable industry ... This co-op exposes the student to multiple areas of the full lifecycle of a project - from ...

Nexteer Automotive Corporation

Engineering Co-Op

Saginaw, MI · On-site

$15.50 - $20.25/hr

... learning in a professional environment while gaining hands-on experience and valuable industry ... This co-op exposes the student to multiple areas of the full lifecycle of a project - from ...

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All JobsMachine Learning Co Op JobsMachine Learning Co Op Jobs in Michigan

Machine Learning Co Op information

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How much do machine learning co op jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for machine learning co op in Michigan is $20.68, according to ZipRecruiter salary data. Most workers in this role earn between $13.08 and $24.04 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Co Op vs Data Scientist?

AspectMachine Learning Co OpData Scientist
Required CredentialsTypically pursuing a degree in CS, Data Science, or related fields; internships often preferredUsually holds a bachelor's or master's in Data Science, Statistics, or related fields; advanced certifications beneficial
Work EnvironmentInternship setting, often part-time or seasonal, in tech or research companiesFull-time role in various industries, including tech, finance, healthcare, with collaborative teams
Employer & Industry UsageUsed by companies for training and evaluating potential future employees; common in tech and research sectorsHired for analyzing data, building models, and deriving insights; prevalent across multiple industries

While both roles involve working with data and algorithms, a Machine Learning Co Op is typically an internship aimed at gaining experience, whereas a Data Scientist is a full-time professional responsible for developing and deploying data models. The Co Op provides a stepping stone into the field, often leading to a full-time Data Scientist position.

What types of projects do Machine Learning Co-Op students typically work on, and how do they contribute to the team?

Machine Learning Co-Op students often work on a variety of hands-on projects, such as developing data preprocessing pipelines, training and evaluating machine learning models, or supporting ongoing research initiatives. They commonly collaborate with data scientists, engineers, and other interns, contributing fresh perspectives and technical support. Co-Ops may also participate in code reviews, attend team meetings, and present their findings, making them valuable contributors to both experimental and production-level work. This collaborative environment offers plenty of opportunities to learn from experienced professionals while making a real impact on projects.

What is a Machine Learning Co-Op?

A Machine Learning Co-Op is a temporary, paid position that allows students or recent graduates to gain hands-on experience working with machine learning technologies in a professional setting. Co-ops typically last several months and are designed to provide practical exposure to real-world projects, such as building models, analyzing data, and collaborating with data scientists or engineers. This role helps participants develop technical skills, gain industry insights, and build a professional network, which can be valuable for future career opportunities in the field of artificial intelligence or data science.

What are the key skills and qualifications needed to thrive as a Machine Learning Co Op, and why are they important?

To thrive as a Machine Learning Co Op, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and coursework or experience in data science or machine learning. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Excellent problem-solving abilities, eagerness to learn, and effective communication help set you apart in collaborative and fast-paced environments. These skills and qualities are crucial for successfully contributing to real-world projects and advancing your expertise in the field.
What are the most commonly searched types of Machine Learning jobs in Michigan? The most popular types of Machine Learning jobs in Michigan are:
Machine Learning Co Op jobs near you
Mechanical Engineer Co-op

Mechanical Engineer Co-op

Progressive Surface

Grand Rapids, MI • On-site

Full-time

Posted 8 days ago

Job description

Progressive Surface designs and manufactures surface treatment machinery for companies in the aerospace, automotive, electronics, printing and general manufacturing industries, including companies such as Boeing, GE Aviation, Delta Airlines and Caterpillar.
As a Co-op at Progressive Surface, you will learn from and work alongside Mechanical Engineers to design and troubleshoot custom machines. You will learn about various electric, pneumatic and mechanical components used within our equipment. You will become proficient in SolidWorks modeling and learn to read and create production drawings. Our machines are completely manufactured on site so you will be exposed to all aspects of design, product selection, manufacturing, assembly, troubleshooting and testing.
Progressive utilizes many technologies, including robotics and automation, to create tailored solutions for our customers.
Additional opportunities may include spending time with our Manufacturing area or Mechanical Assembly Department building the machines.
Requirements
Key Responsibilities
  • Assist engineers with the design and development of mechanical components, assemblies, and systems.
  • Create and revise CAD models and engineering drawings.
  • Participate in prototype fabrication, assembly, and testing.
  • Collect, organize, and analyze test data; prepare technical reports and documentation.
  • Support continuous improvement efforts in manufacturing and engineering processes.
  • Collaborate with cross-functional teams including manufacturing, quality, and controls.
  • Perform other duties as assigned to support engineering and company objectives.

Qualifications
  • Currently pursuing a bachelor's degree in mechanical engineering
  • Strong problem-solving skills and mechanical aptitude.
  • Ability to work independently and in a team environment.
  • Effective written and verbal communication skills.

Apply