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Machine Learning Research Intern Jobs in Washington, DC

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... Support program with R&D and customer-facing goals, to speed the transition of novel applied ...

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... Support program with R&D and customer-facing goals, to speed the transition of novel applied ...

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... Support program with R&D and customer-facing goals, to speed the transition of novel applied ...

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Machine Learning Research Intern information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

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

As of Aug 10, 2026, the average yearly pay for machine learning research intern in Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

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 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.
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Infographic showing various Machine Learning Research Intern job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.

CCI xG Testbed Research Intern Pool

Virginia Department of Human Resource Management

Arlington, VA • On-site

Other

Re-posted 11 days ago


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Job description

CCI xG Testbed Research Intern Pool

Commonwealth Cyber Initiative (CCI), located in Arlington – Ballston (Northern Virginia), is looking for highly-motivated and focused R&D students to help to realize the CCI xG Testbed Vision on advanced wireless communication network and autonomous systems. The work will be conducted in the research group Commonwealth Cyber Initiative (CCI), which is internationally renowned for its leading role in the area of cybersecurity, intelligence and autonomous systems for time- and mission-critical industrial applications. The candidate will actively collaborate with other researchers within the research group at Virginia Tech, as well as with our external collaborators in academia, government, and industry. This is a unique opportunity for students interested in developing and leveraging their hands-on experience. The employee will be part of CCI's proficient and motivated xG Testbed research team, led by Dr. Aloizio DaSilva, in order to carry out cutting edge and impactful work in the following topics: traditional computer network stack, wireless network infrastructure, and Software Defined Radio for cellular communication networks. The duties include supporting the proof-of-concept development, administering laboratory inventory on a daily basis, configuring and deploying software and hardware, maintaining and developing new functionalities on the CCI xG Testbed webpage.

Required Qualifications:

  • Experience with computer networking and wireless communication
  • Experience with software development (i.e. C, C++, Java, Python, MatLab,...)
  • Currently an junior or senior undergraduate student majoring in Electrical Engineering or Computer Science

Preferred Qualifications:

  • Experience with the following: signal propagation, 5G technologies (i.e. network virtualization, mobile edge computing, cloud computing), Internet of Things, radio communication, machine learning, and understanding of computer network.

Pay Band: 4

Appointment Type: Restricted

Review Date: 9/20/24

Additional Information:

  • We are unable to sponsor work visas for this position.
  • The successful candidate will be required to have a criminal conviction check.

About Virginia Tech:

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College . The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually.

Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance . These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact Alex Tuuri at alext3@vt.edu during regular business hours at least 10 business days prior to the event.

Each agency within the Commonwealth of Virginia is dedicated to recruiting, supporting, and maintaining a competent and diverse work force. Equal Opportunity Employer


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