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Machine Learning Intern Jobs in Silver Spring, MD

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

Metova Federal

AI Intern

Hanover, MD

$15 - $20/hr

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 · On-site

$15 - $20/hr

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 ...

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

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 ...

By Light Professional IT Services LLC

AI Intern

Hanover, MD · On-site

$15 - $20/hr

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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Machine Learning Intern information

See Silver Spring, MD salary details

$26.4K

$44K

$91K

How much do machine learning intern jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning intern in Silver Spring, MD is $44,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,600.00 and $47,600.00 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 Silver Spring, MD? The most popular types of Machine Learning jobs in Silver Spring, MD are:
What are popular job titles related to Machine Learning Intern jobs in Silver Spring, MD? For Machine Learning Intern jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Silver Spring, MD look for? The top searched job categories for Machine Learning Intern jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Machine Learning Intern jobs? Cities near Silver Spring, MD with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Silver Spring, MD as of May 2026, with employment types broken down into 29% Full Time, 29% Part Time, 14% Temporary, 14% Contract, and 14% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $44,022 per year, or $21.2 per hour.

Support Engineering Intern

SUSE RGS

Reston, VA • On-site

$17.50 - $22.75/hr

Internship

Posted 22 days ago

Job description

Job Title: Support Engineering Intern

Location: Remote (US Based)

Objective of the Role:

RGS is seeking a driven and curious Summer Support Engineering Intern to join the team responsible for supporting our flagship cloud native products — Rancher, RKE2, and Harvester. This is a hands-on, technical internship at the intersection of enterprise support engineering, DevSecOps, and cutting-edge AI innovation.


As a Support Engineering Intern at RGS, you will carry a dual mission of contributing to real-world support cases and build a proof of concept initiative to bring AI capabilities into our support workflow, a project with measurable impact on support team efficiency and time to resolution.


Key Responsibilities:

  • Shadow and collaborate on real support cases involving Rancher, RKE2, Harvester, and upstream Kubernetes

  • Reproduce and troubleshoot customer issues in lab environments using containerized and virtualized infrastructure

  • Contribute to internal knowledge base articles and runbooks

  • Participate in daily standups, triage meetings, and retrospectives with the support team

  • Design and build a proof-of-concept AI system using LLM APIs and retrieval-augmented generation (RAG) to surface relevant knowledge from internal support documentation, runbooks, and historical case data.

  • Extend the PoC toward agentic AI experiments — evaluating autonomous, multi-step workflows for support ticket triage, case routing, and escalation recommendations

  • Measure impact via defined metrics and present PoC findings and a go-forward recommendation to engineering leadership at end of internship


Required Qualifications:

  • Currently pursuing a B.S. or M.S. in Computer Science, Computer Engineering, or a closely related field

  • Academic focus, concentration, or significant coursework in Artificial Intelligence, Machine Learning, or NLP

  • Demonstrated understanding of cloud native concepts: containers, Kubernetes, microservices architectures, and basic virtualization

  • Strong troubleshooting instincts — you enjoy debugging ambiguous problems and reasoning from first principles

  • Scripting or programming experience (Python, Go, Bash)

  • Comfortable working in Linux environments and using CLI tools daily

  • Strong written and verbal communication skills

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