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Machine Learning Intern Jobs in Glenview, IL (NOW HIRING)

Quantitative Research Intern

Chicago, IL · On-site

$250K - $300K/yr

As a Quantitative Research Intern you will have an opportunity to solve challenging problems ... Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to ...

Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ... Available to intern during Summer 2026 * Open to full-time opportunities upon graduation in 2027 or ...

Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ... Available to intern during Summer 2026 * Open to full-time opportunities upon graduation in 2027 or ...

Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ... Available to intern during Summer 2026 * Open to full-time opportunities upon graduation in 2027 or ...

Showing results 21-40

Machine Learning Intern information

See Glenview, IL salary details

$25.2K

$42K

$86.8K

How much do machine learning intern jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning intern in Glenview, IL is $42,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the most commonly searched types of Machine Learning jobs in Glenview, IL? The most popular types of Machine Learning jobs in Glenview, IL are:
What are popular job titles related to Machine Learning Intern jobs in Glenview, IL? For Machine Learning Intern jobs in Glenview, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Glenview, IL look for? The top searched job categories for Machine Learning Intern jobs in Glenview, IL are:
What cities near Glenview, IL are hiring for Machine Learning Intern jobs? Cities near Glenview, IL with the most Machine Learning Intern job openings:

Quantitative Research Intern

Akuna Capital

Chicago, IL

$130K/yr

Full-time

Re-posted 18 days ago


Job description

About Akuna:

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation. We specialize in providing liquidity as an options market-maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully, we design and implement our own low latency technologies, trading strategies and mathematical models.

Our Founding Partners first conceptualized Akuna in their hometown of Sydney. They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, London, and Singapore. 

What you’ll do as a Quantitative Research Intern at Akuna:

Akuna’s Quant team is looking to add Quant Research Interns to a team of mathematicians, statisticians and technologists for our 10-week Akunacademy internship program in our Chicago office. This team creates trading strategies scientifically by combining its quantitative expertise with sophisticated understanding of derivatives and financial markets.

We are looking for talented researchers who can apply and develop machine learning algorithms to contribute to Akuna’s strategy portfolio. In this role you will:

  • Develop trading strategies using statistical and machine learning algorithms.
  • Design and implement optimization algorithms for portfolio construction.
  • Develop quantitative models describing market behavior.
  • Advance existing initiatives and explore opportunities for new research topics.

Qualities that make great candidates:

  • Pursuing a bachelor’s, masters or PhD in Statistics, Computer Science, Engineering, Mathematics (or a related subject)
  • Expertise in statistics and machine learning
  • Experience building mathematical models for complex real-world problems
  • Intermediate programming skills in Python 
  • The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role
  • Financial experience is not a requirement
  • Must graduate by August 2027
  • GPA of 3.5 or above
  • Legal authorization to work in the U.S. is required on the first day of employment including F-1 students using CPT, OPT or STEM

**Resumes must be submitted in PDF format. 

In addition to technical skillsets, Akuna values the unique perspectives people can bring to the table to collaboratively solve complex problems and drive Akuna forward. We want everyone to feel empowered to apply. We welcome your application and encourage you to take the first steps toward your future with us!

Please note: By submitting an application for this role, you are indicating this is your top preference and acknowledge you will not be considered for other Quant and/or Tech roles at Akuna this recruiting season. This acknowledgement does not limit applications to Trading roles - in addition to this role, you may apply to any Trader roles of interest. 

In accordance with Illinois Equal Pay Act, the minimum annualized base salary starts at $130,000. Exact compensation offered may vary based on many factors including, but not limited to, the candidate’s experience, qualifications, and skill set. The minimum base salary herein was determined in good faith by Akuna Capital LLC.