AI ML Intern Jobs in District of Columbia
AI ML Intern jobs in District of Columbia draw strong demand from one of the most policy-driven and data-intensive markets in the country, with openings concentrated in federal contracting, defense intelligence, and public-sector technology. Most hiring activity centers on Washington D.C., with established employers like Booz Allen Hamilton, Leidos, and Deloitte Federal regularly bringing on interns across machine learning research, natural language processing, and data pipeline development. Entry-level graduate students and recent undergraduates make up the bulk of candidates sought. Find a role that fits below and apply directly.
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About Adelphi: Adelphi builds AI/ML-enabled secure data access and sharing technology for the U.S. intelligence and defense communities, using its Connector software product to enable federated data discovery that cuts intelligence-sharing time from months to minutes. The company's mission is to eliminate data silos, build trust in automation without compromising security, and improve information flow across mission-critical environments. Adelphi closed a $7M Seed round in August 2025 and has Customers across the Intelligence Community and the Department of War.
About the Role: The Machine Forward Deployed Learning Engineer position requires a mix of software development, LLM Ops, and SecDevOps practices, resulting in an exciting, fast-paced engineering role. This role requires the ability to contribute to solutions across the full LLM stack, from the OS, storage, and network up to the API and transport layer. Experience in the defense or intelligence fields is required. You will contribute to end-to-end delivery of agentic, full-stack systems built on top of frontier models, from first prototype to stable production, embedded alongside our defense and intelligence customers.
Location: This role is based in the DC/Metro area; remote candidates will be considered with 25% travel expected.
Clearance Requirement: An active U.S. Government clearance is strongly preferred, but we are open to clearance eligible candidates.
Is this you?
We are an AI-native engineering team. We expect every engineer to leverage LLMs and AI tooling as a core part of how they design, build, ship, and operate agentic systems that turn frontier-model capability into mission outcomes.
You use AI coding tools (Claude Code, Cursor, Copilot) daily and instinctively.
You leverage LLMs across the development lifecycle, and stay current with emerging models and tooling.
You have working knowledge of modern agent frameworks and SDKs (LangGraph, OpenAI Agents SDK, Claude Agent SDK, AutoGen, or similar).
Familiarity with MCP or similar LLM integration frameworks.
You have a clear-eyed view of AI limitations. You know when to trust AI-generated output and when to verify.
Expectations:
Contribute to end-to-end delivery of agentic, full-stack systems from prototype to production, embedded alongside defense and intelligence customers.
Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration into production environments, including classified and air-gapped ones.
Work directly with customers to understand problems, support delivery sequencing, and ship AI applications under real-world constraints.
Help codify repeatable patterns into reusable tools and building blocks that help the team ship faster.
Bonus Points:
Familiarity with infrastructure management (Docker, Kubernetes, AWS).
Exposure to encryption, authentication, Linux systems administration, DevOps, or SRE.
Any production experience with agentic services or forward-deployed AI applications.
Experience in a customer-facing or embedded delivery role.
Exposure to federated or privacy-preserving data architectures.
Benefits:
Healthcare coverage: 100% employee premium and 50% dependents premium coverage of a platinum-level plan.
401K with 2% company match.
$500 monthly Physical and Mental Health reimbursement program.
Unlimited time-off policy.
Competitive salary and equity compensation.
Opportunity to work on impactful projects in the national security sector.
Career growth and leadership opportunities in a dynamic, innovative environment.
About Adelphi: Adelphi builds AI/ML-enabled secure data access and sharing technology for the U.S. intelligence and defense communities, using its Connector software product to enable federated data discovery that cuts intelligence-sharing time from months to minutes. The company's mission is to eliminate data silos, build trust in automation without compromising security, and improve information flow across mission-critical environments. Adelphi closed a $7M Seed round in August 2025 and has Customers across the Intelligence Community and the Department of War.
About the Role: The Machine Forward Deployed Learning Engineer position requires a mix of software development, LLM Ops, and SecDevOps practices, resulting in an exciting, fast-paced engineering role. This role requires the ability to contribute to solutions across the full LLM stack, from the OS, storage, and network up to the API and transport layer. Experience in the defense or intelligence fields is required. You will contribute to end-to-end delivery of agentic, full-stack systems built on top of frontier models, from first prototype to stable production, embedded alongside our defense and intelligence customers.
Location: This role is based in the DC/Metro area; remote candidates will be considered with 25% travel expected.
Clearance Requirement: An active U.S. Government clearance is strongly preferred, but we are open to clearance eligible candidates.
Is this you?
We are an AI-native engineering team. We expect every engineer to leverage LLMs and AI tooling as a core part of how they design, build, ship, and operate agentic systems that turn frontier-model capability into mission outcomes.
You use AI coding tools (Claude Code, Cursor, Copilot) daily and instinctively.
You leverage LLMs across the development lifecycle, and stay current with emerging models and tooling.
You have working knowledge of modern agent frameworks and SDKs (LangGraph, OpenAI Agents SDK, Claude Agent SDK, AutoGen, or similar).
Familiarity with MCP or similar LLM integration frameworks.
You have a clear-eyed view of AI limitations. You know when to trust AI-generated output and when to verify.
Expectations:
Contribute to end-to-end delivery of agentic, full-stack systems from prototype to production, embedded alongside defense and intelligence customers.
Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration into production environments, including classified and air-gapped ones.
Work directly with customers to understand problems, support delivery sequencing, and ship AI applications under real-world constraints.
Help codify repeatable patterns into reusable tools and building blocks that help the team ship faster.
Bonus Points:
Familiarity with infrastructure management (Docker, Kubernetes, AWS).
Exposure to encryption, authentication, Linux systems administration, DevOps, or SRE.
Any production experience with agentic services or forward-deployed AI applications.
Experience in a customer-facing or embedded delivery role.
Exposure to federated or privacy-preserving data architectures.
Benefits:
Healthcare coverage: 100% employee premium and 50% dependents premium coverage of a platinum-level plan.
401K with 2% company match.
$500 monthly Physical and Mental Health reimbursement program.
Unlimited time-off policy.
Competitive salary and equity compensation.
Opportunity to work on impactful projects in the national security sector.
Career growth and leadership opportunities in a dynamic, innovative environment.
See All 23 AI ML Intern Jobs in District of Columbia
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Find AI ML Intern JobsAI ML Intern Jobs by City in District of Columbia
Where District of Columbia roles are concentrated, by current openings.
AI ML Intern Job Market in District of Columbia
A snapshot from current District of Columbia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Law & Legal Services
- Construction & Real Estate
- Consulting & Professional Services
What District of Columbia Employers Look For
The qualifications that appear most often in AI ML intern jobs across District of Columbia.
- Currently enrolled in a bachelor's or master's degree program in computer science or related field
- Hands-on experience with Python, TensorFlow, or PyTorch through coursework or personal projects
- Familiarity with machine learning fundamentals including supervised and unsupervised learning methods
- Ability to obtain or hold a U.S. security clearance preferred by District of Columbia federal contractors
- Experience working with large datasets and data preprocessing using pandas or similar libraries
- Strong communication skills to present model findings to technical and non-technical stakeholders
AI ML Intern Jobs in District of Columbia: Frequently Asked Questions
How do you become a ai ml intern in District of Columbia?
Becoming an ai ml intern in District of Columbia typically starts with enrollment in a computer science, data science, or engineering degree program at a local university such as Georgetown, George Washington University, or American University. No state-issued license is required for this role. Most District of Columbia employers, particularly federal contractors, prioritize candidates who can demonstrate applied machine learning skills through coursework, capstone projects, or GitHub portfolios and who are eligible for security clearance consideration.
Which companies hire ai ml interns in District of Columbia?
Employers hiring ai ml interns in District of Columbia right now include Booz Allen Hamilton, Edgewater Federal Solutions, and Adelphi, based on current listings on Migrate Mate as of July 2026. The District of Columbia market is particularly active among large federal IT contractors and defense agencies that run structured internship programs tied to academic calendars.
Which District of Columbia cities have the most ai ml intern jobs?
The cities with the most ai ml intern openings in District of Columbia are Washington and Pentagon. Washington D.C. dominates the distribution because of its dense concentration of federal agencies, defense contractors, and technology consulting firms that consistently recruit interns, while surrounding areas like McLean and Bethesda attract openings from major contractor headquarters operating just outside the city core.
Are there remote ai ml intern jobs in District of Columbia?
Yes, and more than many fields allow. About 38% of ai ml intern openings tied to District of Columbia are remote or hybrid as of July 2026, reflecting how much of this work involves coding, model training, and data analysis that transfers well to distributed settings. The most remote-friendly tasks include data preprocessing, literature reviews, and model experimentation, while roles requiring access to classified systems or sensitive government infrastructure remain on-site.
How can I get hired as a ai ml intern in District of Columbia with little or no experience?
The most realistic entry path is applying to structured internship programs run by District of Columbia federal contractors such as Booz Allen Hamilton, MITRE, and Leidos, which accept candidates with no professional experience but strong academic records and relevant coursework. Building a portfolio of machine learning projects on GitHub, completing open-source data competitions, and pursuing certifications in cloud platforms strengthen applications considerably. Adjacent roles like data analyst intern or research assistant at D.C. universities also serve as common stepping stones into dedicated AI and ML positions.
Where can I find and apply to ai ml intern jobs in District of Columbia?
You can find and apply to ai ml intern jobs in District of Columbia on Migrate Mate, which lists current openings across the region. Search the available listings, find roles that match your background and availability, and apply directly to the employers posting them.
See All 23 AI ML Intern Jobs in District of Columbia
Find roles in District of Columbia that match your experience and apply in just a few clicks.
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