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Machine Learning Co Op Jobs in Chicago, IL (NOW HIRING)

Destaco

Manufacturing Engineer Co-op

Wheeling, IL · On-site

$75K - $97K/yr

The Engineering Co-op supports Engineering in implementing lean manufacturing processes and ... Updating Machining job set-up sheets * Gage Inventory Management * Development of models in ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127K - $167K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Architect and co-design ML models with traders, quant researchers, and software engineers, treating ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

Architect and co-design ML models with traders, quant researchers, and software engineers, treating ... Understanding of machine learning fundamentals - neural network architectures, inference ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

Architect and co-design ML models with traders, quant researchers, and software engineers, treating ... Understanding of machine learning fundamentals - neural network architectures, inference ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

DONSON MACHINE CO

Swiss/Turning Machinist

Orland Park, IL · On-site

$18 - $40/hr

Description Job Overview Donson Machine is a family-owned medical device manufacturer focused on ... With Op for further OT Night Shift (4:30PM - 3:00AM, Mon - Thurs) *With opportunity for overtime ...

Donson Machine Co

Swiss/Turning Machinist

Orland Park, IL · On-site

$18 - $40/hr

Job Overview Donson Machine is a family-owned medical device manufacturer focused on providing ... With Op for further OT Night Shift (4:30PM - 3:00AM, Mon - Thurs) *With opportunity for overtime ...

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All JobsMachine Learning Co Op JobsMachine Learning Co Op Jobs in Chicago, IL

Machine Learning Co Op information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

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

As of Jul 19, 2026, the average yearly pay for machine learning co op in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 per year, 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 Chicago, IL? The most popular types of Machine Learning jobs in Chicago, IL are:
Machine Learning Co Op jobs near you
Manufacturing Engineer Co-op

Manufacturing Engineer Co-op

Destaco

Wheeling, IL • On-site

$75K - $97K/yr

Other

Re-posted 22 days ago

Job description

DESTACO, a Stabilus Company, is a global leader in the design and manufacture of high-performance automation, workholding, and remote handling solutions. The company serves customers in variety of end-markets, including the automotive, life sciences, consumer goods, packaging, aerospace, and nuclear sectors.

Built on a legacy of over 100 years, DESTACO offers a comprehensive portfolio of products to engineer precise movement, placement and control solutions that drive productivity and uptime for manufacturers around the world. The DESTACO family of products consists of industry-leading brands such as DESTACO Manual and Power Clamps, Camco and Ferguson Indexers, Robohand Grippers and CRL Manipulators and Transfer Ports.

DESTACO is based in Auburn Hills, Michigan, and operates globally through ~700 employees across 11 locations.

With nearly 90 years of demonstrated expertise, The Stabilus Group is one of the world's leading providers of motion control solutions for customers across a broad spectrum of industries.

Stabilus, approaching 1.5B EUR in revenue, is headquartered in Koblenz, Germany and employs more than 7,000 team members across 34 locations in 18 countries.

Stabilus SE is listed in the Prime Standard segment of the Frankfurt Stock Exchange and included in the MDAX index. www.stabilus.com

Position Summary:

The Engineering Co-op supports Engineering in implementing lean manufacturing processes and supports efforts in maintaining the quality management system. Additional responsibilities include supporting DESTACO’s quality initiatives by performing visual, and dimensional inspections coupled with documentation reviews to ensure compliance with quality and performance standards. This position has a key role in interacting effectively with the Engineering, Manufacturing, Customer Service, and Materials departments. S/he will assist in establishing work measurement standards and play an active role in ensuring quality, safety, and lean manufacturing systems and processes.

Key Job Responsibilities included but not limited to:

  • Creating Standard Work Instructions for production and safety initiatives using Sequence software
  • Creating Inspection Plans for machining using High QA software
  • Updating Machining job set-up sheets
  • Gage Inventory Management
  • Development of models in SolidWorks and 3D printing.
  • Assist in immediate containment and countermeasures to suppliers (internal/external) and customer quality complaints.
  • Conducting Gauge R&R and capability studies.
  • Assists in new equipment integration and new process documentation.
  • Tool and fixture design.

Leadership Competencies aligned with Dover and executed in DESTACO with appropriate expectations for the job level:

  • Strategic Mindset: Has understanding of global industry or market; creates breakthrough strategies that alter the competitive dynamics in a market, and establishes a series of competitive advantages yielding profitability that exceeds expectations for the organization.
  • Results-Driven: Produces results that exceed Dover’s strategic objectives via a combination of planning and implementation, while living the Dover Values.
  • Builds and Manages Collaborative Relationships: Establishes and nurtures relationships. Takes action to partner with the communities in which we operate and to be an appropriate corporate citizen.

Knowledge, Skills and Abilities:

  • Strong leadership skills with the ability to build, train and lead a strong positive team environment.
  • Analyzes, solves and implements solutions independent
  • Demonstrated proficiency with MS Office tools (Word, Excel)
  • Working knowledge of Blue Print reading
  • Working knowledge of manufacturing methods, tooling, fixturing and materials
  • Excellent communicator both verbally and in writing

Education and Certification Qualifications:

  • Continued education in a 4 year degree in Manufacturing or Mechanical Engineering (Or other related field of study)