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Machine Learning Summer Intern Jobs in Chicago, IL

Winland Foods, Inc.

Sales Intern

Oak Brook, IL · On-site

$27/hr

May to August 2027 - Summer Internship Job Summary: Winland Foods is looking for students who are passionate about learning with a desire to work in manufacturing and sales! Our summer intern will ...

Winland Foods

Sales Intern

Oak Brook, IL · Hybrid

$27/hr

May to August 2027 - Summer Internship Job Summary: Winland Foods is looking for students who are passionate about learning with a desire to work in manufacturing and sales! Our summer intern will ...

Winlandfoods

Sales Intern

Oak Brook, IL · Hybrid

$27/hr

May to August 2027 - Summer Internship Job Summary: Winland Foods is looking for students who are passionate about learning with a desire to work in manufacturing and sales! Our summer intern will ...

Kirkland & Ellis LLP.

Learning & Development Intern

Chicago, IL · On-site

$15.50 - $20.50/hr

  • Medical

  • Retirement

  • PTO

What You'll Do The Learning & Development team designs and delivers high-impact learning ... summer breaks. The intern is expected to work at least 15 hours per week during the school year ...

DRW

Quantitative Research Intern

Chicago, IL · On-site

$250K - $300K/yr

Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to ... Throughout the summer, we host a variety of educational, social and team-building activities to ...

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All JobsMachine Learning Summer Intern JobsMachine Learning Summer Intern Jobs in Chicago, IL

Machine Learning Summer Intern information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

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

As of Aug 19, 2026, the average yearly pay for machine learning summer 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.

What is a machine learning summer intern?

Machine Learning Summer Interns are students or recent graduates who work temporarily at a company, usually during the summer, to gain practical experience in machine learning. They typically assist with data analysis, model development, and research tasks under the supervision of experienced data scientists or engineers. This role allows interns to apply their academic knowledge to real-world problems, learn industry tools and workflows, and build professional networks. Internships often serve as a stepping stone to full-time positions in machine learning or related fields.

What types of projects does a machine learning summer intern typically work on?

Machine Learning Summer Interns often work on focused projects such as data preprocessing, developing and testing machine learning models, or contributing to research and prototyping efforts. These projects are designed to provide practical experience while directly supporting the team's ongoing initiatives, such as improving model accuracy or automating data pipelines. Interns usually collaborate closely with data scientists and engineers, gaining mentorship and exposure to real-world problem-solving. This hands-on involvement helps interns understand the end-to-end process of deploying machine learning solutions and prepares them for future roles in the field.

What are the key skills and qualifications needed to thrive as a machine learning summer intern?

To thrive as a Machine Learning Summer Intern, you need a solid understanding of programming (especially Python), foundational knowledge of machine learning concepts, and coursework or experience in statistics and mathematics. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you collaborate and adapt in a fast-paced research or development setting. These abilities are crucial for contributing to real-world projects, learning from experienced mentors, and building a foundation for a future career in machine learning.

What is the difference between Machine Learning Summer Intern vs Data Science Summer Intern?

AspectMachine Learning Summer InternData Science Summer Intern
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some experience in ML frameworksUndergraduate or graduate in statistics, CS, or related fields; experience in data analysis
Work EnvironmentDeveloping ML models, algorithms, and prototypes in tech or research companiesAnalyzing datasets, creating reports, and supporting data-driven decisions in various industries
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, marketing, and tech firms

While both roles involve working with data, Machine Learning Summer Interns focus on developing algorithms and models, whereas Data Science Summer Interns analyze data to generate insights. The roles often overlap but differ mainly in technical focus and project scope.

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

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

Machine Learning Summer Intern jobs near you
Infographic showing various Machine Learning Summer Intern job openings in Chicago, IL as of July 2026, with employment types broken down into 14% Internship, 1% As Needed, 56% Full Time, 26% Part Time, 2% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $43,867 per year, or $21.1 per hour.

Software Engineer, Intern (Summer 2027)

Aquatic Capital Management

Chicago, IL • On-site

Full-time, Temporary, Internship

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Aquatic was founded with a shared passion for tackling some of the most complex challenges in one of the world's most competitive arenas-global financial markets. From the very beginning, we have been driven by a deep commitment to applying cutting-edge scientific research and technological innovation to deliver unparalleled performance. Our journey is one of continuous growth and exploration, marked by a spirit of curiosity and relentless drive for excellence.
As a Software Engineering Intern at Aquatic, you will join a fast-moving team building high-performance, distributed systems that power our research and trading infrastructure. You'll work closely with experienced engineers and quants to design tools, improve system reliability, and optimize our platform for low-latency, high-throughput data processing. This is a hands-on, impactful role-your work will directly influence live systems and research workflows.
Requirements:
  • Active student pursuing a BS, MS, or PhD in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines with an expected graduation date between Fall 2027 and Summer 2028.
  • Solid programming skills in Python and/or C++
  • Strong understanding of algorithms, systems, and computer architecture
  • Curiosity about how things work, and a desire to build systems that do things better
  • Ability to thrive in a collaborative, fast-paced environment
  • Learn software design and testing techniques, such as Refactoring and Test Driven Development

Candidate qualities:
  • Strong bias for action
  • Driven by accountability and internal urgency
  • Desire to independently seek best solutions
  • Preference for working in a team that focuses on delivering results aligned with Research goals
  • Comfortable providing and receiving actionable feedback in a collaborative team setting
  • Motivated by an ambitious environment and driven colleagues

Benefits:
  • Benefits: For full-time employees, fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance
  • Perks: Wellness programs, casual dress, snacks, lunch, game room, team and company events
  • Development: Open environment to maximize learning and knowledge sharing
  • Time: Generous PTO, paid holidays, competitive paid caregiver leaves

Aquatic Capital
This role represents a unique opportunity to join a quantitative investment manager in its early stage of growth. The firm's culture will be shaped by collaboration, meritocracy, ambition, and calm determination.
Aquatic is a proud equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

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