Spring and Summer 2026 Internship - AI/ML Research

Noblis is a mission-driven nonprofit research organization focused on advancing science and technology for the public good. As an AI/ML Research Intern, you will develop and analyze applications of large language models (LLMs) while collaborating with interdisciplinary teams to tackle high-impact challenges in artificial intelligence.

Responsibilities

• Prototype tool-augmented LLM workflows using LangChain and investigate emerging standards like MCP for scalable, interoperable 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
• Participate in research discussions, code reviews, and sprint planning to contribute to team goals

Skills

• U.S. Citizenship
• Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow, JAX)
• Comfortable with modern software development practices (e.g., Git, testing, debugging)
• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field
• Minimum GPA of 3.3 with expected graduation between December 2026 and May 2028
• Experience working with large neural models or LLMs
• Exposure to LangChain or similar frameworks for building LLM applications
• Interest in emerging standards like MCP for tool-augmented reasoning and model interoperability
• Prior experience in a research lab, academic project, or internship related to AI or machine learning
• Contributions to research posters, conference submissions, or technical demos (optional but encouraged)
• Motivation to deepen understanding and improve transparency of AI systems through applied research
• Ability to ask questions, take initiative, and thrive in a fast-paced, research-driven environment

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