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

OceanComm, Inc.

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 ...

Yellowstone Landscape

Intern

Roselle, IL · On-site

$15 - $20/hr

A rotating schedule and learning objectives are clearly defined before you begin, allowing the Branch Manager, Intern Mentor and you to develop a program that best suits your interests and the needs ...

Yellowstone Landscape

Intern

Wauconda, IL · On-site

$14.25 - $19/hr

A rotating schedule and learning objectives are clearly defined before you begin, allowing the Branch Manager, Intern Mentor and you to develop a program that best suits your interests and the needs ...

DuPage County ROE

District Projects Intern

Wheaton, IL

$14.75 - $19.75/hr

Hours per week may vary based on project needs and intern availability, with flexibility for both intensive periods and lighter weeks depending on deadlines and milestones. For detailed information ...

Yellowstone Landscape

Intern

Northbrook, IL · On-site

$15.25 - $20.25/hr

A rotating schedule and learning objectives are clearly defined before you begin, allowing the Branch Manager, Intern Mentor and you to develop a program that best suits your interests and the needs ...

BY YOUR SIDE - Autism Therapy Services

ABA Intern

IL · On-site

$22/hr

General Summary The BYS RBT Intern position is a structured, tiered internship level designed to ... Commitment to learning, feedback, and continuous professional growth * Strong interest in working ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Drive modernization through advanced modeling techniques, machine learning, and AI to enhance ... Support hiring and onboarding, including intern and actuarial student rotations. Strategic ...

Kenneth Young Center

SOAR Benefits Intern

Arlington Heights, IL · On-site

$15.25 - $20.25/hr

SOAR Benefits Intern Kenneth Young Center is a 501(c)(3) not-for-profit dedicated to providing comprehensive outpatient behavioral health services to individuals of all walks of life. Located in the ...

Kenneth Young Center

SOAR Benefits Intern

Arlington Heights, IL · On-site

$15.25 - $20.25/hr

SOAR Benefits Intern Kenneth Young Center is a 501(c)(3) not-for-profit dedicated to providing comprehensive outpatient behavioral health services to individuals of all walks of life. Located in the ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Northbrook, IL

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.

More about Machine Learning Intern jobs
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:
Machine Learning Intern jobs near you
Engineering Intern / Co-op

Engineering Intern / Co-op

OceanComm, Inc.

Chicago, IL • On-site

$35 - $55/hr

Full-time

PTO

Posted 26 days ago

Job description

Join OceanComm's engineering team and help build undersea drones, intelligent sensors, and other cutting-edge undersea technology. This is a hands-on role for students in electrical and computer engineering, mechanical engineering, or related technical programs who want real experience at the intersection of acoustics, signal processing, machine learning, embedded systems, and robotics. You can pick a primary area while still having room to cross over. We'll match projects to your skills and curiosity. You'll work closely with experienced engineers, receive training, and contribute to products used in defense, offshore energy, and oceanographic research. Many of our past interns have gone on to join OceanComm full-time. Strong performers will be considered for a full-time role after graduation.
About Us
Underwater, the wireless transfer of a single picture used to take an hour. We brought to market wireless modems that transfer data 100 to 1,000 times faster. Legacy modems were basically status/command links; our modems can control undersea drones with live video feedback, a game changer for exploring the underwater world. Because radio waves attenuate quickly underwater, our modems use sound waves to communicate. Leading organizations in defense, offshore energy and oceanographic research rely on OceanComm to keep their undersea drones connected.
Requirements
  • Actively enrolled in an academic program, not a recent graduate
  • Full-time, on-site commitment for a minimum of 12 weeks
  • Majoring in EE / CompE / MechE (or related)
  • Strong fundamentals (data structures / algorithms or circuits / digital / embedded or controls / mechanical design)
  • Proficiency in at least one of: C, C++, or Python; comfort with Git and writing unit tests
  • Strong communication and teamwork skills
  • Due to export-controlled work, candidates must be U.S. persons (U.S. citizen, U.S. permanent resident, or protected individual under 8 U.S.C. § 1324b)
What Will Put You Ahead
  • Substantial projects (repo or short write-up)
  • Understanding of machine learning / signal processing fundamentals
  • Comfort with linear algebra
  • Experience with web development (especially TypeScript / Vue)
  • Experience with ROV / AUV hardware / software / control (e.g. ROS2)
  • Experience with CAD / 3D printing
  • Familiarity with lab equipment (e.g. oscilloscopes, probes, debuggers)
  • Familiarity with device interfaces (e.g. Ethernet, CAN, I²C, SPI)
  • Familiarity with embedded development (e.g. bootloaders, device trees, drivers, RTOS)
  • Familiarity with Operating Systems concepts (e.g. schedulers, mutexes, virtual memory)
  • Experience with FPGA / RTL (e.g. SystemVerilog, UVM, cocotb)

Benefits
  • Close mentorship and training
  • End-to-end ownership of a scoped, impactful project
  • End-of-internship demo day
  • Paid vacation
Compensation
The pay range for this position is $35 - $55 per hour. Actual pay will depend on the candidate's experience and skills demonstrated during interviews and other evaluations.
OceanComm is an Equal Opportunity Employer, including disability/vet.

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