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$25.3K

$42.2K

$87.3K

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

As of Sep 1, 2026, the average yearly pay for machine learning research 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 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 Charlottesville, VA look for?

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

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

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

Machine Learning Research Intern jobs near you
Infographic showing various Machine Learning Research Intern job openings in Charlottesville, VA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,245 per year, or $20.3 per hour.

Research Associate in Computer Science

Charlottesville, VA • On-site

University of Virginia
Colleges, Universities, and Professional Schools • 10K+ employees

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Full-time

Posted 27 days ago

Job description

The University of Virginia, Department of Computer Science, is seeking applicants for a Research Associate (postdoctoral) position under the supervision of Professor Ferdinando Fioretto .
As a key member of the research team, the postdoctoral researcher will develop novel physics-constrained generative AI methods (diffusion models and flow matching) for real-time transmission-grid topology control. The researcher will design topology-agnostic diffusion models that generate diverse switching configurations from post-contingency grid states while satisfying network connectivity, N-1 security, and thermal limits. Concurrently, they will enhance their skills in teaching, mentoring, and proposal development.
The successful candidate will lead technical deliverables and manuscripts targeting top-tier machine-learning conferences and leading journals in power systems. The position offers an exceptional collaborative network spanning academia, industry, national laboratories.
QUALIFICATION REQUIREMENTS: A Ph.D. in computer science, electrical engineering, operations research, or a related field by the start date. The candidate should have a strong machine-learning research record, rigorous mathematical and experimental skills, and the ability to deliver high-quality results on short timelines. Expertise in one or more of the following is strongly preferred: generative or diffusion models, optimal power flow and power systems, graph neural networks, constrained or physics-informed machine learning. Proficiency with frameworks such as PyTorch is expected. Prior power-systems experience is highly beneficial.
APPLICATION PROCEDURE: Apply online through UVA Jobs and search for requisition R0085429. Upload a current CV, a short statement describing the applicant's research background, interests, and fit, and contact information for three references. Please note that multiple documents can be uploaded in the box.
APPLICATION DEADLINE : Review of applications will begin on August 15, and the position will remain open until filled. The University will perform background checks on all new hires prior to employment.
This is a one-year appointment; The appointment may be renewed for an additional year contingent upon available funding and satisfactory performance. The successful candidate is expected to begin by September 1, 2026, or earlier.
For questions regarding this position, contact Ferdinando Fioretto, Associate Professor, at fioretto@virginia.edu .
For questions regarding the application process, contact Rich Haverstrom, Faculty Search Advisor, at rkh6j@virginia.edu .
For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .
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

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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.

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