Machine Learning Engineer - Agentic RetrievalZoom Corporation • Seattle, Washington, United States
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Machine Learning Engineer - Agentic Retrieval
Zoom Corporation
- Seattle, Washington, United States
- Seattle, Washington, United States
Über
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 optimizing 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 and operating large‑scale search or data platforms in production environments.
Have experience building or integrating RAG systems and LLM‑based applications in production.
Possess proficiency in one or more of: Python, Go, Java, C#, or C++.
Solid understanding of information retrieval fundamentals (inverted index, ranking, embeddings, hybrid retrieval).
Strong system design skills with the ability to reason about scale, reliability, latency, and cost trade‑off.
Salary Range or On Target Earnings Minimum: $151,800.00
Maximum: $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.
Benefits As part of our award‑winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work‑life balance; and contribute to their community in meaningful ways.
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Sprachkenntnisse
- English
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