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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