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Machine Learning Software Engineer Intern Jobs in Chicago, IL

Machine Learning Engineer

Schaumburg, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The company has become one of the fastest-growing HCM software providers worldwide by offering an ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The company has become one of the fastest-growing HCM software providers worldwide by offering an ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The company has become one of the fastest-growing HCM software providers worldwide by offering an ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Staff Machine Learning Engineer

Schaumburg, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The company has become one of the fastest-growing HCM software providers worldwide by offering an ... Our machine learning engineering team is responsible for developing infrastructure and tooling to ...

As a Software Engineer Intern, you'll work side-by-side with your mentor and teammates to build real-world applications that power a global trading firm. Your projects will be scoped based on your ...

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Showing results 1-20

Machine Learning Software Engineer Intern information

See Chicago, IL salary details

$13

$26

$39

How much do machine learning software engineer intern jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for machine learning software engineer intern in Chicago, IL is $26.18, according to ZipRecruiter salary data. Most workers in this role earn between $21.30 and $29.71 per hour, depending on experience, location, and employer.

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Chicago, IL?

The most popular types of Machine Learning Software Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Machine Learning Software Engineer Intern jobs?

Cities near Chicago, IL with the most Machine Learning Software Engineer Intern job openings:

Remote Machine Learning Engineer

Spotter Labs Inc

Lemont, IL • On-site

$90 - $150/hr

Other

Posted 8 days ago


Job description

We're looking for a Machine Learning Engineer to help build and improve AI-powered products. You'll work with large datasets, train and evaluate machine learning models, and collaborate with software engineers to bring models into production.

This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications.

What you'll do
  • Develop, train, and evaluate machine learning models.

  • Prepare and analyze datasets for model training.

  • Improve model performance through experimentation and testing.

  • Deploy and maintain ML models in production environments.

  • Collaborate with software engineers to integrate ML solutions into products.

  • Monitor model performance and continuously improve accuracy.

  • Stay up to date with new machine learning techniques and technologies.

What we’re looking for
  • Basic understanding of machine learning concepts and algorithms.

  • Experience with Python.

  • Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn.

  • Comfortable working with data and writing clean, maintainable code.

  • Familiarity with Git.

  • Good problem-solving skills.

  • Strong written and verbal English communication.

Nice to have
  • Experience with large language models (LLMs).

  • Experience with cloud platforms such as AWS, GCP, or Azure.

  • Familiarity with SQL.

  • Experience deploying ML models.

  • Personal projects or open-source contributions related to AI or machine learning.

Requirements
  • 1+ year of experience in machine learning, software engineering, data science, or a related technical role or strong personal projects demonstrating ML skills.

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required.

  • Passion for learning and building AI solutions.

What we offer
  • Fully remote work.

  • Flexible working environment.

  • Opportunity to work on real AI products.

  • Challenging technical problems with room to grow.

  • Collaborative and fast-moving team.

  • Competitive compensation based on experience.

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