ZipRecruiter

Log In

1

Machine Learning Intern Jobs in Illinois (NOW HIRING)

Akuna Capital

Quantitative Researcher

Chicago, IL · On-site

$145K/yr

Design and optimize machine learning workflows to support scalable, efficient, and reproducible ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

Akuna Capital

Quantitative Researcher

Chicago, IL

$145K/yr

Design and optimize machine learning workflows to support scalable, efficient, and reproducible ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

YWCA Metropolitan Chicago

Clinical Intern

Addison, IL · On-site

$15 - $20/hr

... learning experiences (i.e., Chicago Rape Crisis Hotline, Sexual Assault Awareness Month activities) [as available]. -Participate in and/or create projects based on agency need and intern interest.

PLS

AI Intern

Chicago, IL · On-site

The AI Intern will identify, develop, and improve artificial intelligence and machine learning solutions that support company goals. This role is ideal for a student or recent graduate who is eager ...

next page

Showing results 1-20

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Illinois

Machine Learning Intern information

See Illinois salary details

$24.7K

$41.3K

$85.3K

How much do machine learning intern jobs pay per year?

As of Jul 20, 2026, the average yearly pay for machine learning intern in Illinois is $41,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Illinois? The most popular types of Machine Learning jobs in Illinois are:
What are popular job titles related to Machine Learning Intern jobs in Illinois? For Machine Learning Intern jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Illinois look for? The top searched job categories for Machine Learning Intern jobs in Illinois are:
What cities in Illinois are hiring for Machine Learning Intern jobs? Cities in Illinois with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you

Quantitative Technologist (C++ Intern)

Radix Trading University Job Board

Chicago, IL • On-site

Internship

Posted 12 days ago

Job description

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.
As a C++ Quantitative Technologist Intern, you'll gain experience working on live trading systems, research infrastructure, and alpha generation through technology innovation.
We leverage cutting-edge software and hardware (mostly with modern C++) to push production level code daily and evolve fully-automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure used to analyze petabytes of data.
We provide intern projects that we know will add real value to the firm, while encouraging exploration and independent approaches to improve inefficiencies, propose iterations, and own significant processes during your internship.
Qualifications
We're looking for highly analytical people who want to help build the research-driven trading firm of the future. And to do that, you'll need the following qualities:
  • Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishments?
  • Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
  • Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
  • Mental Flexibility & Self Awareness - You'll have to frequently adapt based on new data, results, and feedback on your ideas and performance.
  • Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker's approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Software development skills to have or develop
  • Low-level computer languages like C or C++; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language
    • C++ is the language you will be using for your projects during your summer with us
  • Understanding of data structures, algorithmic complexities, and numerical algorithms
  • Systems Architecture - knowledge and experience with distributed systems and communication
  • Software Architecture - knowledge and experience working with a large code base
  • Development Processes - experience delivering and deploying software in production environments

Apply