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Artificial Intelligence Machine Learning Internship Jobs in Chicago, IL

AI Software Engineer 1

Chicago, IL · On-site

$80K - $100K/yr

Foundational knowledge of artificial intelligence, machine learning, automation, or data-related technologies * Basic understanding of AI large language models (LLMs) and modern AI tooling (e.g ...

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Artificial Intelligence Machine Learning Internship information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

How much do artificial intelligence machine learning internship jobs pay per year?

As of Aug 18, 2026, the average yearly pay for artificial intelligence machine learning internship 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.

What is an artificial intelligence machine learning internship?

An Artificial Intelligence (AI) Machine Learning (ML) Internship is a temporary position designed for students or recent graduates to gain hands-on experience in AI and ML fields. Interns work on real-world projects involving data analysis, model development, and the application of machine learning algorithms under the guidance of experienced professionals. These internships help individuals develop practical skills, build a professional network, and improve their understanding of current technologies and tools used in AI and ML. Interns may also participate in research, code reviews, and present their findings. This experience is valuable for pursuing a career in data science, AI engineering, or related fields.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning intern?

To thrive as an Artificial Intelligence Machine Learning Intern, you need foundational knowledge in computer science, statistics, and mathematics, often supported by coursework or a degree in a related field. Familiarity with programming languages like Python, machine learning libraries such as TensorFlow or PyTorch, and experience using data analysis tools are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns excel in collaborative, fast-paced environments. These skills and qualities are essential to contribute meaningfully to projects, learn quickly, and adapt to evolving technological challenges.

What types of projects can an artificial intelligence machine learning intern expect to work on during their internship?

As an AI/ML intern, you can expect to work on a variety of projects such as data preprocessing, model development, and performance evaluation. Interns often assist in building and testing machine learning models, analyzing large datasets, and contributing to the improvement of existing algorithms. You may also collaborate closely with data scientists, engineers, and product teams to solve real-world problems and help integrate AI solutions into business processes. These experiences provide valuable exposure to both research and practical applications in the field.

What is the difference between Artificial Intelligence Machine Learning Internship vs Data Science Internship?

AspectArtificial Intelligence Machine Learning InternshipData Science Internship
Required CredentialsBasic programming, math, and AI/ML knowledgeStatistics, programming, and data analysis skills
Work EnvironmentTech companies, research labs, startupsBusiness, finance, healthcare, tech firms
Employer & Industry UsageAI/ML-focused roles in tech and researchData analysis and insights across industries
Search & Comparison IntentUnderstanding AI/ML internship roles and skillsExploring data science internship opportunities

Artificial Intelligence Machine Learning internships focus on developing AI and ML models, requiring programming and math skills. Data Science internships emphasize analyzing data to generate insights, often involving statistics and data visualization. While both roles involve data and programming, AI/ML internships are more specialized in building intelligent systems, whereas Data Science internships focus on interpreting data for decision-making.

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

The most popular types of Artificial Intelligence Machine Learning jobs in Chicago, IL are:

What are popular job titles related to Artificial Intelligence Machine Learning Internship jobs in Chicago, IL?

For Artificial Intelligence Machine Learning Internship jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Internship jobs in Chicago, IL look for?

The top searched job categories for Artificial Intelligence Machine Learning Internship jobs in Chicago, IL are:

Infographic showing various Artificial Intelligence Machine Learning Internship job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $43,867 per year, or $21.1 per hour.

Sr. Artificial Intelligence & Machine Learning Developer

Ryerson Holding Corporation

Downers Grove, IL • On-site

$131K - $196K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Ryerson rating

7.9

Company rating: 7.9 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

131st of 419 rated retail wholesalers


Job description

Sr. Artificial Intelligence & Machine Learning Developer
Req Id: 2940
Workplace Type: Hybrid
Job Shift: 1st
Brand: Ryerson
Job Location: Downers Grove
Posting Start Date: 8/14/26
Summary
Welcome to Ryerson, where exceptional career opportunities await. As a leading provider of industrial and OEM metal products and services since 1842, we are committed to excellence and best-in-class customer service. Join our team and be a part of a legacy of excellence, where your contributions will be valued, and your development supported. Ryerson offers a dynamic, quality-focused, environment, ideal for advancing your career and making your mark in the metals industry.
As a Sr. Artificial Intelligence & Machine Learning Developer at Ryerson, you will lead the design, development, and support of AI and machine learning solutions that help improve business processes and decision-making. This role will own key AI/ML platforms, tools, and integrations while helping expand the use of automation, agents, and predictive models across the organization. You will work with business stakeholders to build scalable, secure, and practical AI solutions that deliver measurable value. This position follows a hybrid work schedule, with employees expected to work from the office Tuesday through Thursday each week.
Roles and Responsibilities
  • Own the full lifecycle of Ryerson's AI and machine learning systems, from design through production support
  • Build and maintain AI/ML infrastructure, products, models, and agents across business functions
  • Serve as the primary developer for AI/ML tools, including Azure Machine Learning, Azure OpenAI, Azure AI Search, Python, SQL, Databricks, and related Azure services
  • Support agent development environments such as Copilot Studio, Agentforce, Joule AI, Azure AI Foundry, and related integration tools
  • Monitor changes in AI/ML technology and recommend tools or capabilities that support business needs
  • Create reports and dashboards to track AI/ML performance, accuracy, usage, and adoption
  • Document systems, models, decisions, and processes for technical and business users
  • Partner with stakeholders to define model goals, success measures, timelines, and delivery plans
  • Support continuous improvement through code reviews, testing, deployment practices, and solution enhancements
  • All other duties as assigned or duties, responsibilities, and activities may change at any time with or without notice

Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a related field
  • 4 plus years of experience developing, deploying, and supporting AI/ML applications
  • Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, and generative AI solutions
  • Experience building and deploying AI/ML models, agents, and algorithms
  • Strong knowledge of MLOps practices, including model versioning, automation, and monitoring
  • Experience with tools such as Python, SQL, Kubernetes, Databricks, and HuggingFace
  • Knowledge of Copilot Studio, Azure Functions, API integrations, prompt engineering, and agent lifecycle management
  • Strong organization, communication, and project management skills

Salary: $131,129 - $196,694 annually plus bonus. A starting salary higher than $131,694 annually is based on a level of experience and education that significantly exceeds the minimum requirements and is commensurate with the compensation scale.
Ryerson offers eligible employees the following benefits:
  • Medical, dental, and vision insurance programs
  • 401K plans with employer-matching contributions
  • Paid vacation, sick, and holidays

#LI-GC1
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex (including gender identity, sexual orientation or preference, and pregnancy), age, national origin, religion, disability or genetic information, marital status, status as a veteran, or any other federal, state or local protected class or artificial barrier.

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