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

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 ...

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 ...

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

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

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

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

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

Showing results 21-40

Fall Machine Learning Co Op information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

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

As of Aug 17, 2026, the average yearly pay for fall 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 a Fall Machine Learning Co Op?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What are popular job titles related to Fall Machine Learning Co Op jobs in Chicago, IL?

For Fall Machine Learning Co Op jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Fall Machine Learning Co Op jobs in Chicago, IL look for?

The top searched job categories for Fall Machine Learning Co Op jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Fall Machine Learning Co Op jobs?

Cities near Chicago, IL with the most Fall Machine Learning Co Op job openings:

Human Resources & Safety CO-OP

Amsted Rail Company

Hammond, IN

Part-time

Re-posted 9 days ago


Amsted Rail rating

8.0

Company rating: 8.0 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

178th of 490 rated machine equipment manufacturers


Job description

Company Overview
Amsted Rail is a private, employee-owned, multi-billion-dollar global corporation and the world’s leading provider of fully integrated bogie systems for the heavy haul freight market. With operations across more than 40 locations worldwide, Amsted Rail leverages advanced manufacturing processes and engineering innovation to deliver high-performance, reliable solutions to customers across the globe.

Position Summary
The Human Resources & Safety Co-Op will work under the supervision of Human Resources leadership to support a variety of HR, safety, training, and employee development initiatives in a manufacturing facility. This role provides hands-on experience in a fast-paced industrial environment and offers exposure to recruiting, employee relations, labor relations, benefits administration, training systems, workforce analytics, safety compliance, and continuous improvement projects.
The Co-Op will gain practical experience supporting both hourly and salaried employees while working directly with plant leadership and operational teams.

Key Responsibilities


Human Resources

• Assist with recruiting activities including job postings, candidate screening, interview scheduling, career fairs, and onboarding.
• Support employee onboarding and orientation programs.
• Assist with maintenance of employee records and HRIS data.
• Prepare reports and analyze workforce metrics including attendance, turnover, overtime, and staffing trends.
• Support benefits enrollment, employee communications, and wellness initiatives.
• Support annual performance review processes and employee development programs.
• Assist with labor relations activities, grievance tracking, and collective bargaining agreement administration.
• Participate in employee engagement and recognition initiatives.


Training & Development

• Assist with administration and maintenance of the Learning Management System (LMS).
• Develop and update training materials, curricula, work instructions, and employee development programs.
• Track training completion and generate compliance reports.

Safety & Compliance

• Assist with safety audits, inspections, and compliance initiatives.
• Support development and revision of safety training programs.
• Assist with maintaining OSHA and safety-related records.
• Participate in incident investigations, root cause analyses, and corrective action tracking.
• Support contractor safety and employee safety communication programs.

Minimum Qualifications
• Currently pursuing a Bachelor’s degree in Human Resources, Business Administration, Occupational Safety, Organizational Leadership, or a related field.
• Availability to work approximately 20 hours per week during the academic year and up to 40 hours per week during the summer.
• Strong organizational and time management skills.
• Strong verbal and written communication skills.
• Ability to maintain confidentiality and handle sensitive information professionally.
• Proficiency in Microsoft Office Suite, particularly Excel, Word, PowerPoint, and Outlook.

Preferred Qualifications
• Experience working with spreadsheets and data analysis.
• Interest in Human Resources, Labor Relations, Employee Development, Safety, or Manufacturing Operations.
Physical Requirements
• Ability to perform tasks requiring a full range of motion, including bending, squatting, and reaching.
• Ability to lift up to 50 pounds as needed.
• Must be able to work in a manufacturing environment and wear required personal protective equipment (PPE).
• Ability to travel occasionally between facilities if required.

This position is designed to provide meaningful hands-on experience and develop candidates for future careers in Human Resources, Safety, Labor Relations, or Manufacturing Leadership.


What Amsted Rail employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amsted Rail logo

About Amsted Rail

Sourced by ZipRecruiter

Amsted Rail is a global leader in providing innovative solutions and components for the rail industry. With a strong commitment to advancing rail technology and improving safety, Amsted Rail offers a wide range of products and services that enhance the performance and reliability of rail systems worldwide. As a trusted partner to railroads, transit systems, and freight operators, Amsted Rail specializes in the design, manufacturing, and distribution of high-quality freight car components, including bogies, couplers, wheelsets, and braking systems. Amsted cutting-edge solutions are engineered to withstand the demands of heavy-duty rail operations, improving efficiency, reducing maintenance costs, and enhancing overall railcar performance.

Industry

Transportation equipment manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Chicago, IL, US

Year founded

1977