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Machine Learning Winter Internship Jobs in Romeoville, IL

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site +1

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a combination of structured education, market simulations, and exposure to modern research and AI tools ...

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site

$70K - $88K/yr

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a combination of structured education, market simulations, and exposure to modern research and AI tools ...

Caterpillar

Data Science/Analyst

Chicago, IL · On-site

You'll work with machine learning, Generative AI, IoT data, and advanced analytics while partnering ... Experience through internships, personal projects, research, hackathons, student organizations, or ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra ... End-of-internship demo day * Paid vacation Compensation The pay range for this position is $35 ...

Cantigny

Veteran Intern (Fall/Winter Cohort)

Wheaton, IL

$14.75 - $19.75/hr

The Veteran Internship Program provides transitioning service members with professional training ... and fax machines. The work can be physically demanding and sometimes includes heavy lifting ...

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All JobsMachine Learning Winter JobsMachine Learning Winter Internship JobsMachine Learning Winter Internship Jobs in Romeoville, IL

Machine Learning Winter Internship information

See Romeoville, IL salary details

$26K

$43.4K

$89.7K

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

As of Jul 10, 2026, the average yearly pay for machine learning winter internship in Romeoville, IL is $43,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,900.00 per year, depending on experience, location, and employer.

What types of projects and tasks can I expect to work on during a Machine Learning Winter Internship?

During a Machine Learning Winter Internship, you can expect to work on hands-on projects such as data preprocessing, building and evaluating machine learning models, and assisting with research experiments. Interns often contribute to real-world applications, such as developing predictive analytics tools, optimizing algorithms, or supporting deployment efforts. Collaboration is common, as you'll work closely with data scientists, engineers, and sometimes product teams, giving you exposure to the full machine learning workflow. This environment provides an excellent opportunity to apply theoretical knowledge, gain practical experience, and build a professional network in the field.

What is a Machine Learning Winter Internship?

A Machine Learning Winter Internship is a short-term, practical training program typically offered during the winter months for students or early-career professionals interested in machine learning. Interns work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced mentors. The internship provides hands-on experience with tools and techniques used in the field, helping participants build technical skills and gain industry exposure. These positions are often offered by tech companies, research labs, or startups and can be either remote or onsite. Successful completion of a machine learning internship can enhance a candidate's resume and open up further career opportunities in artificial intelligence and data science.

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

To thrive as a Machine Learning Winter Intern, you generally need a solid foundation in mathematics, programming (especially Python), and a basic understanding of machine learning concepts, often acquired through coursework or relevant projects. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries like Pandas and NumPy is typically required. Strong problem-solving abilities, collaboration, and curiosity help interns stand out in team-based, fast-paced environments. These skills are crucial for effectively contributing to real-world projects and quickly learning from experienced professionals during the internship.

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

AspectMachine Learning Winter InternshipData Science Winter Internship
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of ML frameworksUndergraduate or graduate in Statistics, Math, CS; familiarity with data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsData analysis, visualization, and interpretation in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, consulting

While both internships involve working with data, the Machine Learning Winter Internship emphasizes developing and applying ML algorithms, whereas the Data Science Winter Internship focuses on analyzing data, creating reports, and deriving insights. Candidates should choose based on their specific skills and career goals in AI or data analysis.

What are popular job titles related to Machine Learning Winter Internship jobs in Romeoville, IL? For Machine Learning Winter Internship jobs in Romeoville, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Winter Internship jobs in Romeoville, IL look for? The top searched job categories for Machine Learning Winter Internship jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Machine Learning Winter Internship jobs? Cities near Romeoville, IL with the most Machine Learning Winter Internship job openings:
Machine Learning Winter Internship jobs near you

Quantitative Intern (Summer 2027)

Optiver

Chicago, IL • On-site, Remote

Other

Posted 8 days ago

Job description

As a Quantitative Intern at Optiver, you'll work alongside traders, researchers, and engineers to solve complex problems in global financial markets. You'll learn how quantitative research, data, technology, and AI-enabled tools come together to identify opportunities, test ideas, and drive decision-making in rapidly evolving markets. Through hands-on project work, mentorship, and training led by Optiver's dedicated Education team, you'll build the foundation needed to make an impact. 

As part of the interview process, we'll assess your strengths, interests, and skills to determine the best fit, and you may be considered for either a Quant Trading or Quant Research internship offer. 

What You'll Do:  

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a combination of structured education, market simulations, and exposure to modern research and AI tools, you'll develop the skills needed to apply quantitative thinking to real-world challenges. 

You'll have the opportunity to: 

  • Develop a deeper understanding of financial markets, quantitative trading, and the research and technology that power them. 
  • Analyze complex datasets, investigate market behavior, and uncover insights that inform decision-making. 
  • Apply your quantitative and programming skills to solve real trading challenges and build impactful tools. 
  • Strengthen your decision-making skills through live market simulations and hands-on experience. 
  • Explore how AI tools can accelerate research, experimentation, and quantitative decision-making 
  • Learn directly from experienced traders and researchers in a collaborative, high-performance environment. 

What You'll Get: 

You'll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you'll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets. 

In addition, you'll receive: 

  • The opportunity to work alongside best-in-class professionals from over 40 different countries. 
  • The opportunity to earn a return internship or full-time offer in Chicago, Austin, New York City, or Amsterdam based on performance. 
  • A highly competitive internship compensation package. 
  • Optiver-covered flights, living accommodations, and commuting stipends. 
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more. 

Who You Are: 

  • Currently pursuing a Bachelor's or Master's degree in a STEM field. 
  • Expected graduation between December 2027 and June 2029, with sophomore standing or higher.  
  • Available to intern during Summer 2027. 
  • Open to full-time opportunities upon graduation. 
  • Strong quantitative, analytical, and logical reasoning skills. 
  • Solid foundation in mathematics, probability, and statistics. 
  • Experience with programming or scripting in Python or another language. 
  • Strong interest in financial markets, quantitative research, and decision-making. 
  • Excited to work in a fast-paced, collaborative environment. 
  • Fluent in English with strong written and verbal communication skills. 

Who We Are:

Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company. 

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics. 

Optiver is supportive of US immigration sponsorship for this role. 

Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.

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