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Internship Machine Learning Jobs in Illinois (NOW HIRING)

Rch

Research Computational and Data Scientist II

Campus, IL · On-site

$132K - $164K/yr

These computational solutions will include development of new statistical, machine-learning, and ... Previous participation in research during academic training, internships, or prior job experience ...

State Farm

Data Scientist

Bloomington, IL · On-site

... machine learning, and other advanced analytics methods to support the growing demand for data ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

State Farm

Data Scientist

Bloomington, IL

... machine learning, and other advanced analytics methods to support the growing demand for data ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

Accenture

Energy Industry Management Consultant

Chicago, IL · On-site

$51K - $59K/yr

Support clients in identifying opportunities to leverage GenAI, machine learning, automation, and ... internships, or other applicable experience, including exposure to one or more of the following ...

Abbott

2027 IT Professional Development Program

Waukegan, IL · On-site

$110K - $110K/yr

Machine Learning, Artificial Intelligence * Cybersecurity, Security * Device Protection * Digital ... Up to two internships and/or up to two years of IT-related work experience The base pay for this ...

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All JobsInternship Machine Learning JobsInternship Machine Learning Jobs in Illinois

Internship Machine Learning information

See Illinois salary details

$24.7K

$41.3K

$85.3K

How much do internship machine learning jobs pay per year?

As of Jun 28, 2026, the average yearly pay for internship machine learning 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 is the difference between Internship Machine Learning vs Data Science Intern?

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

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

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What are internship machine learning positions?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a Machine Learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.
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 Internship Machine Learning jobs in Illinois? For Internship Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning jobs in Illinois look for? The top searched job categories for Internship Machine Learning jobs in Illinois are:
Internship Machine Learning jobs near you
Infographic showing various Internship Machine Learning job openings in Illinois as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $41,265 per year, or $19.8 per hour.
Backend / Frontend Developer Intern

Backend / Frontend Developer Intern

Prospect Equities

Chicago, IL • On-site

$19.75 - $26/hr

Other

Posted yesterday

Job description

 1. Frontend Developer Intern:
We are seeking a motivated and detail-oriented Frontend Developer Intern to join our technology team in building responsive, user-friendly public websites and web applications. In this role, you will focus on crafting intuitive and performant user interfaces using JavaScript / TypeScript and React, while collaborating closely with backend engineers to integrate APIs and deliver seamless user experiences. This internship offers hands-on exposure to modern frontend development practices and an opportunity to contribute to real-world, production-level applications. Key responsibilities include:
  • Build, enhance, and optimize frontend components using JavaScript / TypeScript and React to deliver smooth and responsive user experiences.
  • Collaborate with backend engineers to integrate RESTful APIs, ensuring reliable data flow between frontend and backend systems.
  • Participate in the design and refinement of user interfaces with an emphasis on performance, accessibility, and usability.
  • Identify, debug, and resolve frontend issues to continuously improve application quality and user experience.
  • Write and maintain frontend unit tests to ensure code reliability and stability across modern browsers.
  • Assist with the deployment and maintenance of frontend applications on AWS, supporting smooth releases and updates. 

2. Backend Developer Intern:
We are seeking a motivated and detail-oriented Backend Developer Intern to join our technology team in building and maintaining robust, scalable software systems. In this role, you will collaborate closely with data and frontend engineers and contribute to the development of backend services that power real-world applications. Our technology stack includes Java and Spring Boot for backend services, PostgreSQL, MongoDB, and Elasticsearch for data storage and search, React with JavaScript for frontend applications, and AWS for cloud deployment. This internship is ideal for candidates who are passionate about software engineering and eager to gain hands-on experience working on production systems. Key Responsibilities include:

  • Assist in the development, enhancement, and maintenance of backend services using Java and Spring Boot.
  • Design, implement, and optimize database queries using PostgreSQL, MongoDB, and Elasticsearch.
  • Write and maintain unit tests using JUnit to ensure code quality, reliability, and maintainability.
  • Collaborate with the engineering team to deploy, monitor, and maintain backend systems on AWS.
  • Debug, troubleshoot, and optimize backend code to improve system performance and stability.
  • Participate in code reviews and contribute to discussions around system design and architecture. 

3. Mobile Developer Intern:
We are seeking a motivated and detail-oriented Mobile Developer Intern to join our technology team and help build high-quality, cross-platform mobile applications using React Native and Expo. In this role, you will focus on developing intuitive, performant, and user-friendly mobile experiences for both iOS and Android platforms. You will collaborate closely with frontend and backend engineers to integrate RESTful APIs, implement new features, and ensure a seamless mobile user experience. Key responsibilities include:

  • Design, build, and maintain mobile application features using TypeScript and React Native.
  • Collaborate with backend engineers to integrate RESTful APIs, ensuring reliable and efficient data flow between mobile apps and backend systems.
  • Implement responsive and adaptive mobile UI components that provide a consistent experience across iOS and Android devices.
  • Identify, debug, and resolve mobile-specific issues related to performance, usability, and device compatibility.
  • Contribute to mobile unit testing and debugging to ensure code quality and application stability.
  • Assist in building and maintaining mobile deployment workflows, including app builds and environment configurations.
4. Data Analyst Intern:

We are seeking a motivated and analytical Data Analyst Intern who is passionate about data-driven problem solving and eager to transform data insights into meaningful business impact. In this role, you will work closely with our technology and business teams to analyze datasets, build analytical pipelines, and apply statistical and machine learning techniques to support real-world decision-making. Key responsibilities include:

  • Perform data cleaning, transformation, and validation using Python and SQL to ensure data accuracy and reliability.
  • Assist in building and maintaining data pipelines to support analytics, reporting, and modeling workflows.
  • Conduct exploratory data analysis (EDA) to identify trends, patterns, and actionable insights.
  • Support the develop, evaluate, and improve statistical and machine learning models to use in business decision-making.
  • Contribute to feature engineering and model performance tuning.
  • Create clear and concise reports, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders.

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