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Machine Learning Research Intern Jobs in Park Ridge, IL

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Machine Learning Research Intern information

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$25.1K

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How much do machine learning research intern jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning research intern in Park Ridge, IL is $41,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,300.00 per year, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What job categories do people searching Machine Learning Research Intern jobs in Park Ridge, IL look for?

The top searched job categories for Machine Learning Research Intern jobs in Park Ridge, IL are:

What cities near Park Ridge, IL are hiring for Machine Learning Research Intern jobs?

Cities near Park Ridge, IL with the most Machine Learning Research Intern job openings:

CT Research Scientist Intern Vernon Hills, IL

ESR Healthcare

Vernon Hills, IL

$31 - $37/hr

Full-time, Internship

Re-posted 6 days ago


Job description

CT Research Scientist Intern Vernon Hills, IL

CT Research Scientist Intern

Vernon Hills, IL, US

Salary Range: $31.00 To $37.00 Hourly

The ADVANCE Program is a structured program with goals and expectations designed to provide students with an opportunity to gain hands-on work experience by participating in significant work projects. Students will take on assignments throughout the term related to CMRU project needs depending on their skills and interests. The goal of these activities is to make important contributions to CMRU programs while at the same time significantly advancing the students professional and personal development.

SUMMARY OF POSITION

CMRU is looking for one qualified intern to join our Computed Tomography (CT) research department where the student will participate in exciting projects using latest technology for medical imaging. Students will be mentored by leading experts in the field to gain hands-on experience to develop and validate products, explore the full potential for various clinical applications and features, and contribute to the next generation of spectral CT system. This internship offers a great opportunity to see how your research ideas can come to life and make a difference in countries around the world.

RESPONSIBILITIES

Develop advanced algorithms to address complex research problems in Computed Tomography.

Investigate Deep-Learning based method to solve challenging image reconstruction or image processing tasks.

Design and implement advanced algorithms for next-generation products, such as Photon Counting CT.

Summarize work in the form of reports and presentations.

QUALIFICATIONS

The ideal candidate is a full-time graduate student at an accredited college or university working towards an M.S. or Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science, Medical Physics, Physics or related field in STEM.

Students must be eligible to work in the U.S.

Strong background in image reconstruction, signal and image processing, machine learning, and computer vision.

Good understanding of X-ray physics and system. Familiar with spectral CT/Photon-counting CT related system design, calibration and image formation chain is a plus.

Hands on experience in AI/Deep Learning is strongly preferred. Familiar with at least one neural network training framework such as PyTorch or TensorFlow.

Knowledge of CT clinical applications and anatomy is a plus.

Strong analytical and programming skills in languages such as C/C++/Python/MATLAB, etc.

Working Place: Vernon Hills, Illinois, United States

Company: ESR Healthcare