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

Hatcher

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

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 ...

DZYNE Technologies

Data Science Intern

Fairfax, VA · On-site

$27/hr

Data Science Intern Location: Fairfax, VA Work Arrangement: On-site Overview : We are seeking a ... Exposure to machine learning libraries (pandas, NumPy, scikit-learn, etc.) * Familiarity with data ...

MicroHealth LLC

Intern

Vienna, VA

$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 ...

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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.
Intern, Digital

Intern, Digital

Hatcher

Bethesda, MD • On-site

$20/hr

Internship

Posted 7 days ago

Job description

Description:

The Hatcher Group is excited to welcome an intern to join our digital team during Summer 2026. The Hatcher Intern Program is designed to provide college students and recent graduates with an opportunity to collaborate on strategic initiatives, contribute to research projects, and learn project management skills. Interns will also participate in professional development and networking events powered by Hatcher’s dynamic team.


The Digital team seeks students who are ready and willing to learn, while enhancing their project management, digital engagement, and analytic skills to consistently deliver quality work. The ideal candidate is a digital “Swiss Army knife” who can support digital campaign set-up and execution, show off their social media skills through content creation and community engagement, and be dangerous enough with AI innovation to help drive GEO and AEO expansion efforts.


The person will have a passion for their field of study and a strong desire to contribute to Hatcher's work supporting nonprofits, foundations, government agencies, and other mission-driven organizations to educate and motivate people through powerful marketing and communications. Interns are expected to be well-organized, self-motivated, able to multitask, and be team players. This position is open to recent college graduates and students graduating in winter 2026.


Hatcher is proud to offer a work culture with a “flexible first” approach. The preferred location is within reasonable commuting distance to our Bethesda headquarters location for in-person collaboration.


Additional Details:

  • Program dates: June 16 – August 14, 2026
  • Hourly wage: $20/hr.
  • Hours: Monday – Thursday 9 a.m. - 5:30 p.m.; Friday 9 a.m. - 12 p.m.
Requirements:

Essential Duties and Responsibilities

  • Contribute to client engagement strategies across digital tactics
  • Monitor social media conversations for trending topics
  • Develop monthly campaign briefs for client campaigns
  • Assist in identifying and testing new digital platforms
  • Support audience segmentation and targeting efforts
  • Aid in the development of the Digital Strategic Growth Plan 2026
  • Support digital campaign set-up and execution across email, social, and paid media, including testing, tracking, and basic optimization of GEO- and AEO-focused initiatives

Qualifications and Skills:

  • Knowledge and understanding of major digital tactics and social media platforms
  • Strong writing skills with keen attention to detail
  • Proficiency in Microsoft Office
  • Understanding of AI and machine learning
  • Effective verbal and written communication skills
  • Ability to take direction, work efficiently with a team, and adhere to tight deadlines
  • Is a heavy user of social media and understands trends on TikTok and Instagram, as well as what drives engagement on LinkedIn

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