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Machine Learning Intern Jobs in Virginia (NOW HIRING)

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production. Key ...

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production. Key ...

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Machine Learning Intern information

See Virginia salary details

$25.3K

$42.2K

$87.2K

How much do machine learning intern jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning intern in Virginia is $42,218.00, 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 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Virginia? The most popular types of Machine Learning jobs in Virginia are:
What are popular job titles related to Machine Learning Intern jobs in Virginia? For Machine Learning Intern jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Virginia look for? The top searched job categories for Machine Learning Intern jobs in Virginia are:
What cities in Virginia are hiring for Machine Learning Intern jobs? Cities in Virginia with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Virginia as of May 2026, with employment types broken down into 65% Full Time, 19% Part Time, 4% Temporary, 8% Contract, and 4% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $42,218 per year, or $20.3 per hour.

Intern - Applications, AI and Machine Learning (Fall 2026) (ET26021)

TMEIC Corporation Americas

Roanoke, VA • On-site

Temporary

Posted 4 days ago

Job description

Job # ET26021

Job Title  Intern - Applications, AI and Machine Learning

Office Location Roanoke, VA preferred

Business/Department   Energy and Infrastructure Solutions / Operations

Sales Territory, if applicable        

General Role Description

Provide software design support for data analytics and technical support for business data solutions for information technology projects that meet client needs and fulfill project requirements

Role Accountabilities

- Gather pertinent information from authorized sources to assess project requirements as related to assigned scope of work

- Create and document computer-based software modules to meet functionality and work progress targets, as directed, at prescribed design checkpoints

- Recommend improvements to test procedures to better identify where software does not meet all project requirements for

assigned scope of work

- Design, build, and deploy artificial intelligence/machine learning systems and applications that solve complex business problems

- Develop dashboards based on business requirements following industry best practices and approved methodologies

- Identify key trends and patterns via analysis of internal and external data associated with the performance of the company

and report to manager

- Design, implement, test, deploy and document system configurations including data analytics structures, visualizations

and dashboards to meet project requirements

- Verify data accuracy, quality and integrity when sourcing and curating data from the Company's business systems into data

models

- Provide technical consulting to users regarding applications and development

- Ensure completion of assignments within the defined scope, quality, and time

- Provide regular, accurate and considered status reports to parties deemed appropriate to the situation

General Employee Accountabilities

- Bring full effort to bear on tasks assigned by manager

- Give manager best advice

- Give earliest notice when work cannot be delivered as specified

- Cooperate and collaborate with peers and interact cross-organizationally as specified by manager

- Exemplify Company Core Values: Integrity, Client Focus, Team Orientation, and Personal Commitment

- Comply with all Company policies, practices, and procedures and all regulations and laws

- Recommend viable improvements proactively

- Ensure effective utilization of business tools and processes

Requirements

Minimum Qualifications

  • High school diploma
  • Enrolled in Bachelor of Science in Computer Science, Data Science or Mathematics program, or related field, with related coursework
  • Classes, labs and projects with concentration in some combination of data analysis, data analytics structures, data preparation, ETL processes or data visualization
  • Demonstrated problem solving skills
  • Demonstrated successful working relationships with others in educational or employment setting
  • Demonstrated successful and positive personal leadership, interpersonal, organizational, administrative, and communication skills
  • Proficiency in MS Office suite
  • Availability to travel domestically, up to 5%, sometimes with limited notice
  • Visa sponsorship not available for this position
  • This is not a benefits eligible position

Preferred Qualifications

- Bachelor of Science in Computer Science, Data Science or Mathematics

- Enrolled in Master of Science in Computer Science, Data Science or Mathematics

- Working knowledge of Oracle data analytics tools

- Work experience as a research assistant, intern, or co-op in the above areas

Link to TMEIC Corporation Americas website:  https://www.tmeic.com/.  To be considered an applicant for any available positions, individuals must complete an online job application for each posting.  A resume may be attached to the online application but is not considered a substitute for the information in the application.  Applications will be considered only for the specific position for which the application is submitted.

EEO/AA/M/F/Vet/Disability Employer

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