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Internship Machine Learning Engineer Jobs in Chicago, IL

Lessen

Machine Learning Engineer II

Chicago, IL · On-site

$100K - $137K/yr

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for providing industry-leading machine learning-based tools or processes to the Company, which provide a ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127K - $167K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...

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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 Jun 9, 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 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 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 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
Machine Learning Engineer II

Machine Learning Engineer II

Lessen

Chicago, IL • On-site

$100K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Lessen is the tech-enabled, end-to-end property service provider that is transforming how commercial and residential real estate services are delivered and managed at scale. Lessen's technology platform provides data-driven insights that unlock key growth opportunities for the entire real estate ecosystem-including investors, owners, managers, and service providers. The company leverages a network of over 30,000 vetted, qualified vendors (Lessen Affiliates) serving clients with over 1 million properties and completing more than 3.5 million work orders annually across an expanding range of services. Lessen, LLC is a venture-backed, privately held company with offices in Scottsdale and Chicago. 

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for providing industry-leading machine learning-based tools or processes to the Company, which provide a competitive advantage and eciency. You will work closely with cross-functional teams to build intelligent systems that solve real-world problems using machine learning, deep learning, and data science techniques. 
What You'll Do:

  • Design, deploy, ne-tune, and evaluate large language models (LLMs); develop eective prompting strategies to optimize performance for various business use cases. 

  • Improve data quality by cleaning the company's data and sourcing information from new data sources. 

  • Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools. 

  • Translate business problems into scalable AI/ML solutions, particularly using LLMs, in areas 

  • such as copilot systems, intelligent voice assistants, and work order processing optimization. 

  • Collaborate cross-functionally with teams to develop, rene, and scale data-driven procedures and workows. 

  • Foster a positive team environment. 

  • Ensure condentiality and integrity of internal and external data. 

  • Perform ad-hoc projects and other duties as assigned. 

You Should Have:
 
Minimum Qualifications 
 

  • PhD or Master's degree in Math, Physics, Statistics, Computer Science, or other related elds 

  • 1-3 years of experience as a data scientist, working closely within a business 

  • Strong mathematical and statistical skills 

  • Programming Languages: SQL, Python 

  • Understanding of ETL tools and database architecture 

  • Familiarity with pytorch, pandas and cloud platform like AWS, Azure and GCP 

  • Prompt engineering experience 

  • Experience using a machine learning framework e.g. scikit-learn, pytorch or similar 

  • Experience with a statistical software (e.g. R, SAS) 

  • Experience with natural language processing 

  • Advanced knowledge of Data Warehousing and BI best practices 

  • Experience with big data tools such as Spark, Hadoop, etc. 

  • Experience with Tableau or Superset  

These are the professional skills we would expect from an individual fully established in this role.  

  • Verbal Communication - Proficient  

  • Written Communication - Proficient  

  • Teamwork - Advanced 

  • Relationships - Advanced 

  • Organizational Awareness - Advanced 

  • Learning Agility - Advanced  

  • Analysis - Advanced  

  • Problem Solving - Advanced  

  • Process Orientation - Advanced 

  • Prioritization - Advanced 

  • Customer Service - Proficient 

  • Process Orientation - Advanced 

  • Negotiation - Advanced 

Why Lessen:
        Competitive compensation
        Health, Dental, Vision, Life, Disability options
        401K retirement savings plan
        Paid vacation, federal and floating holidays
        Maternity/Paternity Pay
        Career advancement opportunities
        All the tools you'll need to be successful

Lessen is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. We're looking for teammates that are enthusiastic, empathetic, curious, motivated, reliable, and will help us amplify the positive & inclusive culture we've been building.  Lessen is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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