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Machine Learning Co Op Jobs in Michigan (NOW HIRING)

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:

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:

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 ...

Engineering Co-op / Internship (Paid)

Wixom, MI · On-site

$16 - $20.75/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... KTSV is looking for a self-motivated and collaborative Mechanical Engineering Co-op to support the ...

Join the System Engineering Discipline and aid in the successful launch of new projects by learning ... Engineers Co-Op Department Rotations: System Engineering System Validation & Tools Development ...

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Machine Learning Co Op information

See Michigan salary details

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

As of Jul 4, 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:

Controls Engineer - Co-Op

Kiongroup

Grand Rapids, MI • On-site

$80K - $103K/yr

Full-time

Posted 17 days ago


Job description

Dematic is looking to build upon our Co-Op Program and bring on a student for our Controls Engineering team!We offer:
Job Duties:

Provides assistance in routine planning and execution of Engineering activities:

  • Will be assigned a project implementation team to work with.

  • Working with the Controls CAD team, assist in the development of Layout and Electrical Schematic Drawings using Maestro and Autocad-E.

  • Assist in the preparation of Bill of Material creation.

  • Gain familiarity with the various controls components used in the system design and where to place them on the layouts and schematics.

  • Learn the basics of Programmable Logic Controllers (PLC's) and how to program them.

  • Travel to North American job-sites to assist with commissioning equipment/systems.

  • Seeks advice and guidance on nonroutine or problem areas from others.

  • Identifies problems as they occur and takes appropriate steps to solve them in situations where the problem is not difficult or complex.

What We're Looking For:

  • Innovative Thinkers: Individuals who dare to think boldly and are not afraid to challenge the status quo.

  • Extraordinary Teammates: Individuals ready to learn from and contribute to a diverse team.

  • Self-Starters: Candidates who are committed to personal growth and continuous learning.

  • Future Leaders: Individuals who seek to build a career that goes beyond a regular job and is driven by their passion.

Tasks and Qualifications:

Qualifications:

  • You must be a full-time student at an accredited U.S. college or university.

  • Actively pursuing a degree in Electrical Engineering.

  • Able to work from Dematic office in Grand Rapids, MI.

Preferred Qualifications:

  • Interested in working in collaborative teams.

  • Excellent interpersonal and communication skills.

  • Demonstrates a basic knowledge of professional principles and skills.

  • Effectively uses fundamental concepts and procedures of Engineering and Administration.

  • Proficient at Microsoft Office (Word, Excel, Powerpoint)

  • Proactive, diligent, self-motivated.

  • Experience or familiarity with AutoCAD or modeling program is preferred.

  • Participate in various Future Talent Programming events, such as weekly professional development sessions, a team-based innovation challenge and endless development opportunities.