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Machine Learning Intern Jobs in Radford, VA (NOW HIRING)

Intern

Blacksburg, VA · On-site

$13.25 - $17.50/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... intern's understanding of his/her individual calling to ministry through related training and ...

Machine Learning Intern information

See Radford, VA salary details

$24.2K

$40.5K

$83.6K

How much do machine learning intern jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning intern in Radford, VA is $40,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,700.00 per year, depending on experience, location, and employer.

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 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 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 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 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 job categories do people searching Machine Learning Intern jobs in Radford, VA look for? The top searched job categories for Machine Learning Intern jobs in Radford, VA are:
What cities near Radford, VA are hiring for Machine Learning Intern jobs? Cities near Radford, VA with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Radford, VA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,450 per year, or $19.4 per hour.

CCI xG Testbed Research Intern Pool

Virginia Tech

Blacksburg, VA • On-site

Part-time, Internship

Re-posted 8 days ago


Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

229th of 617 rated colleges and universities


Job description

CCI xG Testbed Research Intern Pool

Apply now Back to search results Job no: 530983
Work type: Hourly Wage/Part-Time
Senior management: Vice President for Research
Department: Commonwealth Cyber Initiative
Location: Arlington, Virginia
Categories: Research / Scientific

Job Description

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.

Advertised: September 12, 2024
Applications close:

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About Virginia Tech

Sourced by ZipRecruiter

Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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