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...