Staff Machine Learning Engineer

What you can expect

Zoom is building the next generation of AI Companion, powered by Agentic Retrieval — a unified intelligence layer that enables AI agents to securely search, reason over, and act on enterprise knowledge at scale. In this role, you’ll design and develop the core retrieval and reasoning systems driving AI-powered workflows across meetings, chat, docs, and enterprise apps. This is a high-impact opportunity to shape Zoom’s AI foundation and advance how enterprises access and use knowledge.

About the Team

The Agentic Retrieval team within Zoom’s GenAI Engineering group builds a multi-tenant, permission-aware retrieval platform. It powers large-scale document and data search. The team also focuses on enterprise knowledge graph reasoning and retrieval orchestration for AI agents. We operate at the intersection of distributed systems, machine learning, knowledge representation, and large language models. Our mission is to enable AI agents to access the right information, with the right permissions, at the right time — across enterprise data sources.

Responsibilities:

• Designing and building scalable retrieval systems using vector and semantic search for unstructured data, hybrid keyword-embedding search, enterprise data analytics, and graph-based reasoning.

• Designing and optimize Retrieval-Augmented Generation (RAG) pipelines for multi-step, tool-using AI agents.

• Building indexing pipelines that transform heterogeneous enterprise data into unified retrieval-ready representations.

• Developing ranking, relevance modeling, and evaluation frameworks to improve answer quality and grounding.

• Working on permission-aware retrieval to ensure secure, multi-tenant isolation and fine-grained access control.

• Partnering closely 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, distributed systems, or related areas.

• Demonstrate hands-on experience building and operating large-scale search, recommendation, or data platforms in production environments.

• Possess understanding of:Information retrieval, Structured query systems, Knowledge graph or graph database concepts

• 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++.

• Have experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and vector databases or search engines.

• Have experience working with enterprise data systems or multi-tenant SaaS environments is a plus.

Salary Range or On Target Earnings:

Minimum:

Maximum:

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.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure;  there may be a different range for candidates in this and other locations.

Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

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. Click Learn for more information.

About Us
Zoomies help people stay connected so they can get more done together. 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. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment​

At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.

We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.

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. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.