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Internship Machine Learning Intern Jobs in Virginia, IL

Internship Machine Learning Intern information

See Virginia, IL salary details

$25K

$41.8K

$86.3K

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

As of Jun 10, 2026, the average yearly pay for internship machine learning intern in Virginia, IL is $41,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $45,100.00 per year, depending on experience, location, and employer.

What types of projects do Machine Learning Interns typically work on, and how much autonomy can I expect?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, building and testing machine learning models, and collaborating on research or product development tasks. While you’ll usually work under the guidance of experienced engineers or researchers, many organizations encourage interns to take ownership of specific project components, propose solutions, and present findings. This balance between mentorship and autonomy helps interns gain practical experience while ensuring support is available when tackling challenging problems.

What are Machine Learning Interns?

Machine Learning Interns are students or early-career professionals who support teams in developing and implementing machine learning models and algorithms. They typically assist with data collection, cleaning, model training, and evaluation under the supervision of experienced engineers or scientists. These internships provide hands-on experience with real-world data science projects, often using programming languages like Python and tools such as TensorFlow or PyTorch. The goal is to help interns build practical skills and contribute to ongoing machine learning initiatives within an organization.

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

AspectInternship Machine Learning InternData Science Intern
Required SkillsBasic programming, machine learning concepts, Python, data analysisData analysis, statistics, programming, visualization
Work EnvironmentTech companies, research labs, startupsTech firms, consulting, finance, healthcare
Industry UsageMachine learning projects, model developmentData analysis, reporting, business insights

Both roles are internship positions in data-related fields, with Machine Learning Intern focusing on developing and applying machine learning models, while Data Science Intern emphasizes data analysis and insights. The roles often overlap but differ mainly in technical focus and project scope.

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, a solid understanding of programming (especially Python), statistics, linear algebra, and foundational machine learning concepts is essential, often supported by ongoing or completed coursework in computer science or related fields. Familiarity with tools and libraries such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, eagerness to learn, and effective communication skills help interns excel in collaborative and fast-paced environments. These skills enable interns to contribute meaningfully to projects, adapt to new challenges, and effectively communicate technical findings.
What cities near Virginia, IL are hiring for Internship Machine Learning Intern jobs? Cities near Virginia, IL with the most Internship Machine Learning Intern job openings:
ST Empower Your Life Student Intern Fall 2026

ST Empower Your Life Student Intern Fall 2026

Illinois College

Jacksonville, IL • On-site

$15/hr

Other

Posted 2 days ago


Job description

Position Title: Empower Your Life Student Intern
Hours: 5-10 hours/week
Duration: 16 week-long semester
Compensation: $15/hour


Empower Your Life student interns are key members of Chesley Health and Wellness Center
Team and will report to the Empower Your Life Program Coordinator and the Director of Student
Health & Wellbeing.

During the sixteen-week internship, the student interns will be the leaders and facilitators of IC’s
NAMI on Campus chapter/student organization as well as facilitate weekly peer-to-peer support
sessions. The interns also will be responsible for planning and implementing mental health
promotion, and suicide prevention, and substance use/abuse prevention education
programming on IC’s campus. The Student Interns will support the work of the Program
Coordinator and the Behavioral Health Coalition by attending trainings and supporting initiatives
to reduce stigma related to mental health. The student interns will be required to complete an 8-
module, three-week Certified Peer Educator training program.

The interns will attend weekly meetings to collaborate with one another and other members of
the Chesley team.

Explanation of Need for Departmental Success:
Research has shown that student leadership can be a tremendous resource in understanding
and communicating with students. Having student leaders engage in and facilitate discussions
that support the mental health needs of students, and being active on campus in reducing the
stigma of mental health will positively impact and enhance the students experience. In addition,
these two interns are valuable to the BHC team in helping the Coalition achieve their goals,
actively engage the campus community in transformative social and learning activities, as well
as make an overall impact on community mental health care for all.    

Department: Chesley Health & Wellness Center
Reports to: Program Coordinator of Empower Your Life
Date Last Revised: May 2026