Machine Learning Engineer - Agentic Retrieval

* Seattle, Washington, United States * Full time **What you can expect** Zoom is looking for a Machine Learning Engineer to join our Agentic Retrieval team. You will design and build the core retrieval and reasoning systems that power Zoom’s AI Companion — enabling AI agents to search, reason over, and act on enterprise knowledge to deliver high\- quality, trustworthy, and actionable answers at scale. **About the Team** The Agentic Retrieval team sits within Zoom’s GenAI Engineering organization and is responsible for building a multi\-tenant, permission\-aware retrieval platform. We operate at the intersection of distributed systems, machine learning, and large language models — powering search and answer generation across meetings, chat, docs, and third\-party enterprise applications through a layered API architecture (keyword search, natural language search, and agentic RAG\-based answer generation). **Responsibilities:** * Designing and implementing scalable retrieval systems including vector search, hybrid search (keyword \+ embedding \+ reranking), and structured query planning. * Designing and optimize Retrieval\-Augmented Generation (RAG) pipelines for multi\-step, tool\-using AI agents. * Developing ranking, relevance modeling, and evaluation frameworks to improve search quality and answer grounding. * Building indexing pipelines that transform heterogeneous enterprise data into unified, retrieval\-ready representation. * Building entity extraction and NLP pipelines that support agentic reasoning over enterprise content. * Partnering with product, infrastructure, and applied research teams to ship production\- grade AI capabilities. **What we’re looking for** * Master’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Distributed Systems, or a related field. * 5\+ years of experience in machine learning, search infrastructure, information retrieval, or distributed systems * Strong hands\-on experience building an