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Internship Machine Learning Engineer Jobs in Chicago, IL

Crowe

Machine Learning Engineer

Chicago, IL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Crowe LLP

Machine Learning Engineer

Chicago, IL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Crowe

Machine Learning Engineer

Chicago, IL

$29.81 - $48.08/hr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Crowe Advisory LLC

Machine Learning Engineer

Chicago, IL · On-site

$62 - $100/hr

About the Role As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves ...

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

$100 - $130/hr

As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems that make LightSpeed's construction robots smarter, faster, and more autonomous. You will develop ...

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All JobsMachine Learning Engineer JobsInternship Machine Learning Engineer JobsInternship Machine Learning Engineer Jobs in Chicago, IL

Internship Machine Learning Engineer information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

How much do internship machine learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for internship machine learning engineer 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 does an internship machine learning engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

What types of projects and responsibilities can I expect as an internship machine learning engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

What are the key skills and qualifications needed to thrive as an internship machine learning engineer, and why are they important?

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.

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

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

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

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

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

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

Internship Machine Learning Engineer jobs near you
Infographic showing various Internship Machine Learning Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $43,867 per year, or $21.1 per hour.

Staff Machine Learning Engineer (Chicago)

Zocdoc

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago

Job description

Mentorship Machine Learning Engineer Search Algorithms ML Models Data Platforms


We are seeking a Staff Machine Learning Engineer to join our Search team and enhance our core search product. You will build scalable products to improve the healthcare search experience for patients and providers. You will balance your contributions as an applied Machine Learning Engineer with mentorship responsibilities.


Responsibilities

  • Contribute to the end-to-end development of search algorithms and ML models.

  • Implement ML Ops and CI/CD best practices.

  • Collaborate with other teams to incorporate features within Search.

  • Ship efficient and scalable code to millions of users.

  • Partner with product and design teams to develop product improvements.

  • Mentor other engineers.

  • Work with GenAI tools and technology.


Requirements

  • Passion for building and productionizing large-scale consumer-facing ML models.

  • Solid understanding of machine learning techniques.

  • Understanding of consumer-facing experiment design.

  • Passion for technology and the ability to think critically about software performance, scalability, and reliability.

  • Experience building data platforms with the latest technologies.

  • Experience implementing software solutions using object-oriented or functional languages (e.g., Scala, Spark, Databricks, Python, React, C#, Node.js).

  • Experience designing, building, and shipping applications that scale.

  • 7+ years of professional development experience (Data teams experience is a plus).

  • Experience mentoring other engineers.

  • Computer Science or related degree (preferred).


Benefits

  • Flexible, hybrid work environment.

  • Unlimited Vacation.

  • 100% paid employee health benefit options.

  • Commuter Benefits.

  • 401(k) with employer-funded match.

  • Corporate wellness programs with Headspace and Peloton.

  • Sabbatical leave (for employees with 5+ years of service).

  • Competitive paid parental leave and fertility/family planning reimbursement.

  • Cell phone reimbursement.

  • Catered lunch every day along with beverages and snacks.

  • Employee Resource Groups and ZocClubs.

  • Great Place to Work Certified.


How to Apply

Interested in this position? Please submit your resume and cover letter through the application portal.

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About ZocDoc

Sourced by ZipRecruiter

Zocdoc is the country's leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc's Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world's leading investors, and we believe we're still only scratching the surface of what we plan to accomplish. Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone , we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences, and contributors make our community and our platform better. We're an equal-opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.

Industry

Internet websites and web search portals

Company size

501 - 1,000 Employees

Headquarters location

New York, NY, US

Year founded

2007

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