ZipRecruiter

Log In

1

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

Analytica

2027 Summer Intern Associate

Bethesda, MD · Remote

$15.25 - $20.50/hr

Data Science Intern * Assist with data analysis, modeling, and exploratory data analysis ... Support development of machine learning or statistical models * Prepare datasets for analysis and ...

SUSE RGS

Support Engineering Intern

Reston, VA · On-site

$17.50 - $22.75/hr

Support Engineering Intern Location: Remote (US Based) Objective of the Role: RGS is seeking a ... Machine Learning, or NLP * Demonstrated understanding of cloud native concepts: containers ...

ECS

Junior Software Engineer - Intern

Fairfax, VA · On-site

Everforth ECS is seeking a Junior Software Engineer Intern to work in our Fairfax, VA office for ... Machine Learning and Big Data/Cloud Solutions. The candidate works closely with the Project Manager ...

The Hatcher Group

Intern, Digital

Bethesda, MD · On-site

$20/hr

The Hatcher Intern Program is designed to provide college students and recent graduates with an ... Understanding of AI and machine learning * Effective verbal and written communication skills

Hatcher

Intern, Digital

Bethesda, MD

$20/hr

The Hatcher Intern Program is designed to provide college students and recent graduates with an ... Understanding of AI and machine learning * Effective verbal and written communication skills

Leidos

Data Analytics Summer Intern

Bethesda, MD · On-site

$48.10K - $86.95K/yr

The Health Sector at Leidos currently has an opening for a Data Analytics Summer Intern ... Participate in designing and implementation of machine learning models for classification ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Springfield, VA

Machine Learning Intern information

See Springfield, VA salary details

$26.6K

$44.5K

$91.9K

How much do machine learning intern jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning intern in Springfield, VA is $44,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 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 job categories do people searching Machine Learning Intern jobs in Springfield, VA look for? The top searched job categories for Machine Learning Intern jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Machine Learning Intern jobs? Cities near Springfield, VA with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Springfield, VA as of May 2026, with employment types broken down into 62% Full Time, 26% Part Time, 4% Temporary, 4% Contract, and 4% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $44,480 per year, or $21.4 per hour.

Fall Intern: Data Analysis and Education Policy

AEI

Washington, DC • On-site

Other

Posted 28 days ago

Job description

Overview
The education policy team's data intern will support the team's cutting-edge research at the intersection of data, education policy, and technology. The data intern will research a variety of topics, including by:
  • analyzing and drawing meaningful interpretations from state and national education data sets;
  • using statistical modeling to estimate causal effects;
  • using web scraping to construct novel education data sets;
  • applying text analysis, machine learning, and other techniques to analyze unstructured data; and
  • creating visualizations and written reports to communicate results.

Candidates are expected to:
  • be highly interested in learning more about education policy;
  • have keen attention to detail and be highly effective at communication;
  • be highly proficient in Python and/or R.
  • have a strong understanding of statistics;
  • have a foundational understanding of machine learning;
  • be comfortable working independently when given a project; and
  • be able and eager to learn new skills on the job.

Applicants who go above and beyond will:
  • have taken coursework to understand, or have work experience in, education policy; and
  • demonstrate fluency in both Python and R, and potentially other programming languages;
  • have a strong understanding of regression and causal analysis; and
  • have experience applying machine learning and/or natural language processing to unstructured, messy data sets.

The ideal candidate for this position will have a passion for understanding K-12 American education through multiple types of data, have a general STEM background with a foundational understanding of data science, and be driven by open-minded,
intellectual curiosity. Candidates who are able to participate in the program on an in-person basis for 30-40 hours a week are encouraged to apply.
About AEI Internships
AEI internships offer a unique opportunity for undergraduates, graduate students, and recent graduates to gain experience in research, writing, business, and communications at one of the nation's leading think tanks.
Competitive candidates will generally have a GPA of 3.5 or higher from a top-ranking college or university. AEI's internship program runs for 12 weeks and all related programming will take place in-person in Washington, DC. Please see the internship program home page for updates about the program.
The fall program dates are either Tuesday, September 8, to Friday, December 4, or Tuesday, September 15, to Friday, December 11.

Apply