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Machine Learning Co Op Jobs in Michigan (NOW HIRING)

$17.75 - $22.75/hr

Learning and development for all employees is key because your growth is our growth. Want to learn ... Student must be enrolled at an accredited college or university for the duration of the co-op

Yazaki is looking for a Co-op to join the Accounts Receivable team at Yazaki North America, in ... A safe learning environment * Competitive pay Yazaki North America is committed to providing equal ...

Yazaki is looking for a Co-op to join the Accounts Receivable team at Yazaki North America, in ... A safe learning environment * Competitive pay Yazaki North America is committed to providing equal ...

Human Resources Co-op

Novi, MI · On-site

$20.75 - $25.25/hr

The Human Resources Co-op will support the local HR People Partner on a wide range of HR tasks and ... Observing and learning about all areas of Human Resources * Getting introduced to the software ...

Human Resources Co-op

Novi, MI · Hybrid

$20.75 - $25.25/hr

The Human Resources Co-op will support the local HR People Partner on a wide range of HR tasks and ... Observing and learning about all areas of Human Resources * Getting introduced to the software ...

Human Resources Co-op

Novi, MI · Hybrid

$35K - $45K/yr

The Human Resources Co-op will support the local HR People Partner on a wide range of HR tasks and ... Observing and learning about all areas of Human Resources * Getting introduced to the software ...

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Machine Learning Co Op information

See Michigan salary details

$7

$20

$52

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

As of Jun 10, 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:
Manufacturing Operations Co-Op 2026

$14.25 - $18.75/hr

Full-time

Posted 3 days ago


Nexteer Automotive rating

6.6

Company rating: 6.6 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

334th of 417 rated machine equipment manufacturers


Job description

The Student Program at Nexteer Automotive offers high‑potential students meaningful opportunities to apply classroom learning in a professional environment while gaining hands‑on experience and valuable industry exposure. Learn more about our student program and career opportunities at Nexteer by visiting www.nexteer.com/careers.

We are seeking a detail-oriented and technically skilled co-op student to support our department in a variety of administrative and analytical tasks. This role will assist the Audit Results Analyst (ARA) with completing change notice documentation audits to ensure consistent presentation and compliance with established standards. The ideal candidate will enhance and maintain computer applications, spreadsheets, and databases to standardize information and generate departmental metric reports. Responsibilities also include monitoring and reporting performance against key metrics, as well as providing administrative support to the supervisor as needed. This position offers a great opportunity to contribute to process improvement and data integrity within a dynamic team environment.

 

Job Description:

The Co-op Student assigned to the Operations Department provides clerical, administrative, and project support to the Production Supervisor team. This role assists with organizing production information, maintaining records, and completing day-to-day tasks that help supervisors focus on achieving established goals for quality, cost, delivery, safety, and morale.

 

Primary Job Responsibilities:

  • Assist Production Supervisors with monitoring, recording, and organizing daily production data such as production output, scrap, first runs, and overtime hours
  • Support the maintenance of time and attendance records within UKG or other internal systems
  • Help create and update cross-training plans, training matrices, and employee training records
  • Prepare basic reports and spreadsheets for supervisors related to production performance and departmental metrics
  • Organize and file documentation required for compliance with internal procedures and the collective bargaining agreement
  • Assist with preparation of presentations or communication materials using Excel, Word, and PowerPoint
  • Help coordinate information between shifts and departments (Maintenance, Engineering, Tooling, and Production Control) as directed by supervision
  • Participate in 5S activities by helping track audits, update checklists, and maintain visual management boards
  • Provide inventory clerical support to help ensure shipping and delivery requirements are met
  • Perform data entry and administrative trouble-shooting for quality or safety tracking systems
  • Complete special assignments and projects as requested by Operations leadership

Required Skills

  • Basic understanding or interest in manufacturing environments
  • Intermediate computer skills with applications such as Word, Excel, PowerPoint, and internal reporting tools
  • Strong organizational and administrative abilities
  • Effective written and verbal communication skills
  • Ability to handle sensitive information professionally and maintain confidentiality
  • Detail-oriented with ability to work accurately in a fast-paced setting

Requirements:

  • Candidate must be attending a 2 year college or  4-year university local to Saginaw
  • Candidate must be pursuing a degree in Business, Supply Chain, Engineering, or Human Resources
  • Candidate must be able to work 20-32 hours during Fall and Winter semesters
    • Up to 40 in the summer
  • Must have cumulative 3.0 GPA on 4.0 scale
  • Must be a full-time student (12 or more credits) during Fall and Winter semesters
  • Candidate must have right to work in the US and not require current or future sponsorship

Nexteer is an Equal Opportunity Employer Disabled/Minorities/Veterans/Women

Nexteer is an E-Verify employer. E-Verify is an internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employees to electronically verify the employment eligibility of their newly hired employees in the United States.

 

Accessibility for Applicants with Disabilities: If you need a reasonable accommodation for the online application process due to a disability please email careers@nexteer.com. Please provide your contact information and details about the posted position of interest. Only inquiries regarding assistance for those who need an accom


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