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Machine Learning Developer Intern Jobs in Chicago, IL

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

... , DevOps, and Delivery Platforms to understand requirements and ensure alignment of machine learning engineering solutions with overall business objectives and priorities. • Leverage cutting-edge ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... , DevOps, and Delivery Platforms to understand requirements and ensure alignment of machine ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to ... , DevOps, and Delivery Platforms to understand requirements and ensure alignment of machine ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

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Showing results 1-20

Machine Learning Developer Intern information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

How much do machine learning developer intern jobs pay per year?

As of Jul 9, 2026, the average yearly pay for machine learning developer intern 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.

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

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

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

Backend / Frontend Developer Intern

Backend / Frontend Developer Intern

Prospect Equities

Chicago, IL • On-site

$19.75 - $26/hr

Other

Re-posted 12 days ago


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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