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Machine Learning Intern Jobs in Charlottesville, VA

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Machine Learning Intern information

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$25.3K

$42.2K

$87.3K

How much do machine learning intern jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning intern in Charlottesville, VA is $42,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

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 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 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 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 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 are the most commonly searched types of Machine Learning jobs in Charlottesville, VA?

The most popular types of Machine Learning jobs in Charlottesville, VA are:

What are popular job titles related to Machine Learning Intern jobs in Charlottesville, VA?

For Machine Learning Intern jobs in Charlottesville, VA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern jobs in Charlottesville, VA look for?

The top searched job categories for Machine Learning Intern jobs in Charlottesville, VA are:

What cities near Charlottesville, VA are hiring for Machine Learning Intern jobs?

Cities near Charlottesville, VA with the most Machine Learning Intern job openings:

Infographic showing various Machine Learning Intern job openings in Charlottesville, VA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $42,245 per year, or $20.3 per hour.

Global Networks and Programs Intern - Federal Work-Study Position (Student Wage)

The University of Virginia

Charlottesville, VA

$19.50/hr

Part-time

Posted 6 days ago


University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

213th of 628 rated colleges and universities


Job description

UVA Global Networks and Programs, part of the University of Virginia's Office of Engagement and External Relations, is dedicated to connecting alumni, parents, and friends, and volunteers with each other, their local community, and the University of Virginia through a variety of programs and initiatives both around the world and on Grounds.

This team seeks a highly organized, detail-oriented internfor the 2026-2027 academic year. This hands-on role is ideal for a student seeking administrative, operational, and systems experience in a non-profit or higher education setting. Responsibilities include, but are not limited to:

Responsibilities:

  • Manages data entry, report generation, and analysis of data using the Salesforce CRM.
  • Contributes to the strategy, planning, and implementation of volunteer events both virtually and on Grounds. When available, will assist with staffing these events in-person or online.
  • Creates executive summaries using Canva to illustrate program progress or success.
  • Creates surveys in Qualtrics or Microsoft Forms for internal or external audiences. Drafts communications for surveys to constituents and analyzes respondent data.
  • Assists with the onboarding, engagement, offboarding, and stewardship of volunteers, including outbound communications, assembling mailing materials, and responding to inbound volunteer inquiries.

Minimum Experience and Skills:

  • Some administrative support experience
  • Strong computer skills including Microsoft Office (Word, Excel and Outlook)
  • Interest in constituent communication and/or data management and reporting
  • Excellent time management and accountability skills

Preferred Experience and Skills:

  • Experience (or enthusiasm to learn) navigating database systems
  • Solid data management and reporting skills
  • Highly personable; ability to effectively communicate via email with internal and external constituents
  • Motivated problem solver, creative thinker, confident in sharing ideas and collaborating on solutions
  • Interest in non-profit or higher education administration
  • In addition to the job duties and responsibilities outlined above, this position will participate in a structured internship experience through the Internship Placement Program (IPP). If selected, interns must enroll in either UNST 3910 (1 cr.) or UNST 3920 (1 cr.). The courses are offered 9+ times during the fall, offering plenty of options to choose from. If the course does not fit your schedule, we also offer an asynchronous co-curricular workshop series on Canvas. Through this robust internship experience, students will receive dedicated career support from their supervisor and gain key skills and competencies aligned with their future career interests. The FWS Internship will look great on your resume and provide the student with impactful stories to share in interviews. TFWS Internships are best suited for students in their 2nd - 4th years.

Schedule:Flexible, ideally 2-3 days a week, 6 hours a day

Hourly Rate:$19.50
Proposed Start Date:September 22, 2026

Location: This position is hybrid. Students will work remotely and in the office. The office is located at Old Ivy Hall, 2420 Old Ivy Road.

Interested students should submit a resume and brief cover letter with their application.


MINIMUM REQUIREMENTS
Education: Current UVA student. Must be eligible for federal work-study

Licensure: None
PHYSICAL DEMANDS
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment.


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About University of Virginia

Sourced by ZipRecruiter

The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819