Enterprise Graph Retrieval Intern at Zoom in Seattle, WA

Summary: Zoom is a company that builds collaboration platforms to help people communicate better. They are seeking an intern to contribute to Enterprise Graph Retrieval systems, focusing on designing, building, and evaluating graph-powered retrieval systems that enhance enterprise RAG systems. Responsibilities: - Design and model enterprise graph schemas - Build graph construction pipelines - Implement graph-aware querying and retrieval - Integrate and evaluate retrieval systems Required Qualifications: - Currently pursuing a BS, MS, or PhD in Computer Science, Machine Learning, AI, or a related field - Demonstrate strong programming skills in Python; Java is a plus - Apply solid foundations in algorithms, data structures, and system design - Show interest in information retrieval, RAG systems, or knowledge-centric AI Preferred Qualifications: - Experience with knowledge graphs, property graphs, or RDF-based systems - Familiarity with graph query languages (Gremlin, SPARQL, Cypher, or similar) - Understanding of graph modeling, schema design, and relationship semantics - Experience with graph databases (e.g., Amazon Neptune, Neo4j, JanusGraph) - Hands-on experience with GraphRAG or hybrid graph + vector retrieval systems - Knowledge of combining symbolic graph reasoning with neural retrieval - Experience integrating graph signals into ranking or retrieval pipelines - Familiarity with subgraph extraction, path-based reasoning, or multi-hop retrieval - Experience using LLMs for information extraction, entity resolution / linking, query understanding or rewriting - Exposure to retrieval evaluation metrics (e.g., relevance, recall, task success) - Ability to design experiments and analyze results for retrieval quality improvements - Experience building data pipelines for large-scale datasets - Familiarity with cloud-native systems (AWS preferred) - Understanding of performance, latency, and scalability trade-offs in retrieval systems Required Skills: Python, Machine Learning, Graph Databases Important Skills: Graph Query Languages, Data Structures, Algorithms, Information Retrieval Nice-to-Have Skills: AWS, Soft Skills Benefits: A variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health, Support work-life balance, Contribute to their community in meaningful ways