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Machine Learning Winter Internship Jobs in Romeoville, IL

DePaul

Adjunct Faculty in Data Science

Chicago, IL · On-site

Students gain advanced skills in data analytics. multivariate analysis, machine learning, and ... Classes in Autumn, Winter, and Spring quarters are 11 weeks in length (including finals week) and ...

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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 Technologist (C++ Intern)

Radix Trading University Job Board

Chicago, IL • On-site

Internship

Re-posted 2 days ago

Job description

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.
As a C++ Quantitative Technologist Intern, you'll gain experience working on live trading systems, research infrastructure, and alpha generation through technology innovation.
We leverage cutting-edge software and hardware (mostly with modern C++) to push production level code daily and evolve fully-automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure used to analyze petabytes of data.
We provide intern projects that we know will add real value to the firm, while encouraging exploration and independent approaches to improve inefficiencies, propose iterations, and own significant processes during your internship.
Qualifications
We're looking for highly analytical people who want to help build the research-driven trading firm of the future. And to do that, you'll need the following qualities:
  • Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishments?
  • Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
  • Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
  • Mental Flexibility & Self Awareness - You'll have to frequently adapt based on new data, results, and feedback on your ideas and performance.
  • Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker's approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Software development skills to have or develop
  • Low-level computer languages like C or C++; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language
    • C++ is the language you will be using for your projects during your summer with us
  • Understanding of data structures, algorithmic complexities, and numerical algorithms
  • Systems Architecture - knowledge and experience with distributed systems and communication
  • Software Architecture - knowledge and experience working with a large code base
  • Development Processes - experience delivering and deploying software in production environments

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