Job Description

About the team

The team builds Agentic Retrieval systems that power intelligent search, retrieval, and reasoning across Zoom’s enterprise platforms. We work at the intersection of knowledge graphs, retrieval systems, large language models, and production engineering to enable scalable, reliable access to enterprise knowledge. Interns are treated as full contributors and work on real problems alongside experienced engineers and scientists.


What you can expect

As a Machine Learning, Applied Scientist, or Research Engineer Intern, you will contribute to Enterprise Graph Retrieval within the Agentic Retrieval systems that support Zoom . You will work on building graph-based retrieval and reasoning capabilities that enhance enterprise RAG systems and enable intelligent AI agents. Your work will focus on designing, building, and evaluating graph-powered retrieval systems that operate on real enterprise data and directly impact users across Zoom products. You ...

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