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

Nature Intern

Barrington, IL · On-site

$15 - $20/hr

Provide nurturing care and Social, Emotional Learning for Oak Leaf students * Create and implement nature based learning unit * Attend frequent Teacher/Intern check-ins to discuss Intern progress

Design and optimize machine learning workflows to support scalable, efficient, and reproducible ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

Design and optimize machine learning workflows to support scalable, efficient, and reproducible ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

Clinical Intern

Addison, IL · On-site

$15 - $20/hr

... learning experiences (i.e., Chicago Rape Crisis Hotline, Sexual Assault Awareness Month activities) [as available]. -Participate in and/or create projects based on agency need and intern interest.

Clinical Intern

Addison, IL · On-site

$15 - $20/hr

... learning experiences (i.e., Chicago Rape Crisis Hotline, Sexual Assault Awareness Month activities) [as available]. -Participate in and/or create projects based on agency need and intern interest.

The AI Intern will identify, develop, and improve artificial intelligence and machine learning solutions that support company goals. This role is ideal for a student or recent graduate who is eager ...

AI Intern

Chicago, IL · On-site

$22 - $30/hr

The AI Intern will identify, develop, and improve artificial intelligence and machine learning solutions that support company goals. This role is ideal for a student or recent graduate who is eager ...

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

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Machine Learning Intern information

See Northbrook, IL salary details

$25.9K

$43.2K

$89.3K

How much do machine learning intern jobs pay per year?

As of Jul 12, 2026, the average yearly pay for machine learning intern in Northbrook, IL is $43,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,700.00 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 Northbrook, IL? The most popular types of Machine Learning jobs in Northbrook, IL are:
What are popular job titles related to Machine Learning Intern jobs in Northbrook, IL? For Machine Learning Intern jobs in Northbrook, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Northbrook, IL look for? The top searched job categories for Machine Learning Intern jobs in Northbrook, IL are:
What cities near Northbrook, IL are hiring for Machine Learning Intern jobs? Cities near Northbrook, IL with the most Machine Learning Intern job openings:
Software Engineer, Intern (Summer 2027)

Software Engineer, Intern (Summer 2027)

Aquatic Capital Management

Chicago, IL

Other

Re-posted 10 days ago


Job description

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 Spring 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 colleaguesÂ