Machine Learning Engineer - Agentic Retrieval
Core
Design and build core retrieval and reasoning systems for Zoom's AI Companion, enabling AI agents to search, reason over, and act on enterprise knowledge.
Role type
Senior IC machine learning engineer (agentic retrieval)
Builds
Multi-tenant, permission-aware retrieval platform powering search and answer generation across meetings, chat, docs, and third-party enterprise applications.
Domain
Enterprise collaboration software, GenAI, distributed systems, information retrieval
Deliverable
production ML models
Required skills
Large-scale search or data platform operations, RAG system integration, LLM application development, hybrid retrieval (keyword + embedding + reranking), entity extraction, system design for scale/reliability/latency
Preferred skills
Vector search, structured query planning, ranking and relevance modeling, indexing pipelines
Technologies
Python, Go, Java, C#, C++, inverted index, embeddings
Responsibilities
Designing and implementing scalable retrieval systems including vector search and hybrid search; Designing and optimizing RAG pipelines for multi-step, tool-using AI agents; Developing ranking, relevance modeling, and evaluation frameworks; Building indexing pipelines for heterogeneous enterprise data; Building entity extraction and NLP pipelines; Partnering with product, infrastructure, and applied research teams to ship production-grade AI capabilities.
Seniority
Senior, hands-on IC
