Position Details

Salary $23 – $38 USD / year

Type Internship

Experience intern

Exp. Years 0+ (internship)

Education Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Data Analytics, MIS, or a related field

Category AI & Machine Learning

About this role

AI/ML Research Intern to prototype and analyze LLM applications, integrating real-world data and tools, and contributing to research discussions and code reviews.

Key Responsibilities

Prototype tool-augmented LLM workflows using LangChain and investigate MCP for scalable AI applications
Conduct experiments on model behavior, interpretability, and alignment
Integrate structured and unstructured data sources into LLM pipelines using vector databases and embedding models
Collaborate with researchers to explore agentic reasoning and model transparency
Communicate findings through presentations, reports, and internal documentation

Technical Overview

Hands-on ML with PyTorch/TensorFlow/JAX; experience with LangChain and MCP is a plus; work with LLMs, vector databases, and embedding models in a research setting.

Ideal Candidate

The ideal candidate is a motivated AI/ML intern with strong foundations in ML frameworks, practical experience with LangChain or similar, and a curiosity for tool-augmented reasoning and MCP in a federally-focused research setting.

Must-Have Skills

U.S. Citizenship (Clearance Eligible)Familiarity with machine learning frameworks (e.g.PyTorchTensorFlowJAX)Comfortable with modern software development practices (e.g.Gittestingdebugging)Currently pursuing a Bachelor’s or Master’s degree in Computer ScienceData ScienceMathematicsData AnalyticsMISor a related fieldMinimum GPA of 3.3 with expected graduation between December 2026 and May 2028

Nice-to-Have Skills

Experience working with large neural models or LLMsExposure to LangChain or similar frameworks for building LLM applicationsInterest in MCP for tool-augmented reasoning and model interoperabilityPrior experience in a research labacademic projector internship related to AI or machine learningContributions to research postersconference submissionsor technical demos

Tools & Platforms

LangChainModel Context ProtocolTensorFlowPyTorchJAXGit

Required Skills

familiarity with machine learning frameworks (e.g.PyTorchTensorFlowJAX)modern software development practices (Gittestingdebugging)pursuing degree in CS/DS/Math/Data Analytics/MISGPA 3.3active interest in AI/ML and research

Hard Skills

PyTorchTensorFlowJAXGitTestingDebugging

Soft Skills

CollaborationCuriosityInitiativeCommunication

Industry & Role

Industry Government/Public Sector

Job Function Develop AI/ML research prototypes and experiments for LLM tooling and reasoning in a federal context.

Role Subtype AI/ML Intern

Tech Domains Python, PyTorch, TensorFlow, LangChain, LLM

Keywords for Your Resume

summer 2026 ai/ml internnoblisremoteu.s. citizenshipclearance eligiblelangchainmodel context protocolmcpllmretrieval-augmented generationagentic workflowsvector databasesembedding modelspytorchtensorflowjaxgittestingdebuggingbachelorsmastersai/ml intern

Deal Breakers

Not a U.S. citizen, GPA below 3.3, Not pursuing a degree in CS/DS/MIS/Math/Data Analytics, Lack of familiarity with ML frameworks

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Summer 2026 - AI/ML Intern

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