AI ML Intern Jobs in Washington, DC
AI ML Intern jobs in Washington, District of Columbia are concentrated in Capitol Hill, Foggy Bottom, and the NoMa corridor, across federal agencies, defense contractors, and research-driven technology firms. Employers actively hiring include Booz Allen Hamilton, Edgewater Federal Solutions, and Adelphi. Find a role that fits below and apply directly.
Find AI ML Intern JobsOverview
Showing 5 of 22+ AI ML Intern jobs
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 22 AI ML Intern Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI ML Intern JobsAI ML Intern Job Market in Washington
Who's Hiring
Top Industries Hiring
- Technology & Software
- Law & Legal Services
- Construction & Real Estate
- Consulting & Professional Services
AI ML Intern Jobs in Washington: Frequently Asked Questions
How do I get a ai ml intern job in Washington?
Washington's ai ml intern market is shaped by its dense concentration of federal agencies, defense contractors, and policy-adjacent research organizations in areas like Foggy Bottom, Capitol Hill, and the Rosslyn-Ballston corridor across the river. Candidates who combine strong Python or R skills with an understanding of public-sector data applications stand out. Targeting contractor firms that support agencies such as the Department of Defense or intelligence community gives entry-level applicants the most realistic starting points locally.
Which companies hire ai ml interns in Washington?
Washington ai ml intern roles are posted by Booz Allen Hamilton, Edgewater Federal Solutions, and Adelphi and others right now, based on current listings on Migrate Mate as of July 2026. The local market leans heavily toward government contractors, cybersecurity firms, and research nonprofits that support federal missions.
Are there remote ai ml intern jobs in Washington?
Yes, though availability depends on the role's focus. Analytical and data-pipeline tasks are often remote-compatible, while positions involving classified systems or agency-embedded work typically require an on-site presence. About 42% of ai ml intern openings tied to Washington are remote or hybrid as of July 2026, with the highest remote share found in commercial tech and research roles rather than federal contractor positions.
How can I get a ai ml intern job in Washington with little or no experience?
The most realistic entry path in Washington is through internship programs run by federal contractor firms and research nonprofits, many of which explicitly recruit students and recent graduates with coursework in machine learning or data science but limited professional history. Roles supporting agency analytics teams or natural language processing projects often accept candidates with strong academic projects in lieu of work experience. Building a public GitHub portfolio and applying through Washington-based research institutes or university partnership programs, such as those affiliated with Georgetown or George Washington University, gives local candidates a concrete edge.
Which industries hire the most ai ml interns in Washington?
The sectors hiring the most ai ml interns in Washington are Technology & Software, Law & Legal Services, and Construction & Real Estate, based on current listings on Migrate Mate as of July 2026. Washington's unique role as a federal policy and defense hub means these sectors often require AI applications tied to government data, national security analytics, or public health research rather than purely commercial products.
Related Jobs in District of Columbia
See All 22 AI ML Intern Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI ML Intern Jobs