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 Company Overview Noblis is a nonprofit science, tech strategy organization that works in the public interest to help clients solve most complex problems. It was founded in 1996, and is headquartered in Reston, Virginia, USA, with a workforce of 1001-5000 employees. Its website is