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Trainee Mechanical Engineering Machine Learning Jobs in Chicago, IL

Gotion, Inc.

Machine Learning Engineer

Manteno, IL

We lead the full product development cycle, integrating mechanical, electrical, thermal, and ... D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied ...

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

Required Qualifications Master's Degree in Mathematics, Engineering, Physics or related field ... in Machine Learning; Experience with deep learning frameworks like TensorFlow or PyTorch;

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to help enable data driven decisions and insights at a scale for millions of Paylocity users. As a ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to help enable data driven decisions and insights at scale for millions of Paylocity users. As a Senior ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

We lead the full product development cycle, integrating mechanical, electrical, thermal, and ... S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely ...

Varsity Tutors

Mechanical Engineering Tutor

Wheaton, IL · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

Varsity Tutors

Mechanical Engineering Tutor

Chicago, IL · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

TEKsystems

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

Top 3-5 Skills - Strong engineering foundation. - Ability to understand the problem. - Ability to ... Applying the latest techniques and approaches across the domains of data science, machine learning ...

Varsity Tutors

Mechanical Engineering Tutor

Skokie, IL · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

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Trainee Mechanical Engineering Machine Learning information

See Chicago, IL salary details

$18

$34

$56

How much do trainee mechanical engineering machine learning jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for trainee mechanical engineering machine learning in Chicago, IL is $34.20, according to ZipRecruiter salary data. Most workers in this role earn between $27.74 and $38.65 per hour, depending on experience, location, and employer.
Trainee Mechanical Engineering Machine Learning jobs near you

Trainee Mechanical and/or Industrial Engineering

Aspen Guard LLC

Chicago, IL • On-site

$72K - $97K/yr

Temporary

Re-posted 22 days ago

Job description

Company Overview:

Folding Guard is an industry leader in manufacturing security and safety products. With a strong commitment to innovation and quality, we serve a diverse range of industries. We are seeking a motivated Trainee with an engineering background and a focus on Mechanic or Industrial Engineering, specifically with expertise in Lean Manufacturing Concepts, to join our team.

Position Overview:

As a Trainee in Mechanical /Industrial Engineer with a specialization in Lean Manufacturing Concepts, you will play a key role in optimizing our manufacturing processes and ensuring the highest level of operational efficiency. This role is designed for an engineering graduate who is passionate about applying lean methodologies to drive continuous improvement in a manufacturing environment.

Key Responsibilities:

  • Collaborate with cross-functional teams to identify areas for process enhancement and waste reduction.
  • Contribute to the implementation of lean manufacturing techniques to streamline production processes.
  • Assist in analyzing production workflows, identifying bottlenecks, and proposing viable solutions.
  • Engage in root cause analysis to address operational challenges and implement corrective actions.
  • Support the establishment and monitoring of key performance indicators (KPIs) to measure process effectiveness.
  • Participate in the development and execution of training programs to promote a culture of continuous improvement.
  • Attend workshops, training sessions, and learning opportunities to deepen your knowledge of lean manufacturing concepts.

Qualifications:

  • Bachelor's degree in Engineering, with a focus on Mechanical, Industrial Engineering, or related field.
  • Solid understanding of lean manufacturing principles, methodologies, and tools.
  • Familiarity with concepts such as Value Stream Mapping, 5S, Kaizen, Six Sigma, etc.
  • Strong analytical skills and the ability to identify process inefficiencies.
  • Effective communication skills to collaborate with cross-functional teams.
  • Detail-oriented, organized, and able to manage multiple tasks concurrently.
  • Proficiency in Microsoft Office Suite and data analysis software.

Benefits:

  • Comprehensive training and mentorship to develop expertise in lean manufacturing methodologies.
  • Exposure to real-world projects that contribute to the organization's growth and success.
  • Opportunity to work alongside experienced professionals and gain insights into the manufacturing industry.

Competitive compensation and potential for career advancement within the organization.

Application Process:

If you are an engineering graduate with a keen interest in applying lean manufacturing concepts to industrial processes, we encourage you to apply. Applications will be reviewed on a rolling basis.

Folding Guard is committed to diversity and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status. Individuals with disabilities will be provided with reasonable accommodations as needed.

Join us in our mission to drive manufacturing excellence through continuous improvement. Apply today and be a part of our innovative team!