Zoom Video Communications

Machine Learning Engineer - Agentic Retrieval

Seattle, Washington, USA · full-time

Sponsorship not specified$152k-$332kDetected 29 days ago

PythonJavaGoC#Distributed SystemsMachine LearningNLPLLMsRAGAgentic AIResearchCollaboration

About the role

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).

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.
Have experience building or integrating RAG systems and LLM-based applications in production.
Strong system design skills with the ability to reason about scale, reliability, latency, and cost trade-off.
We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings.

$332,200.00 In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
What we're looking for Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Distributed Systems, or a related field.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon.

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This listing is sourced directly from Zoom Video Communications's careers page and normalized into a canonical job model.