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Machine Learning Intern Jobs in Washington (NOW HIRING)

Peraton

Summer 2026 Research Intern

Reston, VA · On-site +1

$25/hr

Familiarity with emerging technology areas such as artificial intelligence, machine learning, cloud ... SCA / Union / Intern Rate or Range$25+EEOEEO: Equal opportunity employer, including disability and ...

Peraton

Summer 2026 Research Intern

Reston, VA · On-site +1

$25/hr

Familiarity with emerging technology areas such as artificial intelligence, machine learning, cloud ... SCA / Union / Intern Rate or Range$25+EEOEEO: Equal opportunity employer, including disability and ...

Peraton

Summer 2026 Research Intern

Reston, VA · On-site +1

$25/hr

Familiarity with emerging technology areas such as artificial intelligence, machine learning, cloud ... SCA / Union / Intern Rate or Range $25+ EEO EEO: Equal opportunity employer, including disability ...

MicroHealth LLC

Intern

Vienna, VA · On-site

$15 - $20/hr

You will focus on learning how our organization runs, and can be expected to gain valuable insight ... In addition to office duties, the intern will have the opportunity to meet managers, executives ...

Metova Federal

AI Intern

Hanover, MD · On-site

As an Intern, you will have the opportunity to work on a cutting-edge project that involves ... Familiarity with machine learning or data science concepts and experience with data visualization ...

Metova Federal

AI Intern

Hanover, MD

As an Intern, you will have the opportunity to work on a cutting-edge project that involves ... Familiarity with machine learning or data science concepts and experience with data visualization ...

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Showing results 1-20

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Washington

Machine Learning Intern information

See Washington salary details

$28.9K

$48.2K

$99.7K

How much do machine learning intern jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning intern in Washington 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 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Washington? The most popular types of Machine Learning jobs in Washington are:
What are popular job titles related to Machine Learning Intern jobs in Washington? For Machine Learning Intern jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Washington look for? The top searched job categories for Machine Learning Intern jobs in Washington are:
What cities in Washington are hiring for Machine Learning Intern jobs? Cities in Washington with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Washington as of June 2026, with employment types broken down into 2% Internship, 12% Full Time, and 86% Part Time. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.
Software Engineering Intern

Software Engineering Intern

International Logic Systems, Inc.

Fairfax, VA • On-site

Internship

Posted 18 days ago

Job description

Overview
Software Engineering Intern (ILS Team)
Do you enjoy building software in a collaborative, fast-paced environment? Are you excited about solving ambitious technical challenges and creating impactful solutions?
We're looking for Junior and Senior Computer Science students to join our ILS engineering team as Software Engineering Interns.
Location: Hybrid - 2 days onsite at our headquarters in Fairfax, VA
In this role, you'll:
  • Collaborate with experienced engineers on real-world software projects
  • Contribute to the design, development, and testing of innovative solutions
  • Work with modern tools and technologies in a supportive team environment

What we're looking for:
  • Currently pursuing a BS in Computer Science (or related field)
  • Hands-on experience with one or more: Python, C++, Java, or MATLAB
  • Strong problem-solving skills and a willingness to learn
  • Ability to work well in a team setting

Why join us?
  • Work on meaningful, technically challenging projects
  • Learn from a team passionate about engineering excellence
  • Gain real-world experience in a collaborative and innovative environment

As a member of our team you will...
  • Build next-generation solutions to help tackle complex issues.
  • Engage in end-to-end software engineering processes.
  • Be part of high-caliber teams of engineers focused on designing, creating, and fine-tuning simulation platforms that assess and validate the latest algorithms and systems for autonomy.
  • Contribute to multidisciplinary teams, and actively participate in software design evaluations, code reviews, and test strategy planning.

Specifically, we are seeking an Intern that has been focused in the following areas of study and hands-on demonstrated experience to assist the ILS team:
  • Computer Science / Information Technology
  • Artificial Intelligence (AI)
  • Data Science
  • Data Analysis
  • Natural Language Processing
  • Automation Testing (i.e. Selenium)

Responsibilities
You meet our minimum qualifications for the job if you...
  • Are working towards a Bachelor of Science in Computer Science, Computer Engineering, or a related technical field.
  • Have classroom experience in or knowledge of software design patterns in either C++, Python, Java, or MATLAB.
  • Have a minimum 3.0 GPA on a 4.0 Scale. Note: When prompted to upload attachments, please include a copy of your college transcripts (unofficial transcripts are acceptable).
  • Have pursued technical projects and extracurricular activities outside of the classroom. Specifically, AI project experience.

Qualifications
You'll go above and beyond our minimum requirements if you...
  • Possess classroom or related experience in working closely with autonomous systems and machine learning algorithms.
  • Have classroom or professional experience in developing with middleware or containerization software tools, such as Data Distribution Service, ZeroMQ, Docker, or Kubernetes.
  • Hold classroom experience in data science and statistical analysis.
  • Have experience in a modern software development environment, such as Agile or Kanban, that includes automated testing (Selenium), continuous integration and deployment, and DevSecOps protocols.

Apply