Staff AI Engineer

Zoom Communications

Seattle, UShybrid$177k-$388k/yrPosted Jul 17, 2026
Posting intelligenceActively listed

Skills

kubernetestypescriptpythonazurec++zoomcicdrustjavagooglecloudawsllmgoml

About the role

Seattle, Washington, United States

Full time

What you can expect

As a Staff AI Engineer, you will develop intelligent systems capable of reasoning, planning, and executing complex workflows. You will design agentic systems that manage intricate tasks, perform multi-step actions, and ensure safe interactions with tools and data. This role integrates LLM intelligence with system engineering, and your contributions will directly support the evolution of Zoom AI Companion into a more dependable and advanced assistant.

About the team

You will join a highly collaborative engineering organisation focused on building next-generation AI-powered experiences. The team works across machine learning, distributed systems, and product engineering to deliver scalable, reliable, and intelligent solutions. With a focus on innovation and real-world impact, the team is shaping how AI enhances communication and productivity at Zoom.

Responsibilities

Designing agentic systems that manage complex, multi-step tasks and autonomous decision-making workflows

Building scalable, production-grade AI systems that integrate LLM intelligence with robust backend infrastructure

Ensuring safe and reliable interactions between AI agents and external tools and data sources

Contributing to the development of agent memory, personalisation, and quality evaluation systems

Optimising performance across distributed systems to balance quality and latency at scale

Collaborating across engineering, research, and product teams to deliver AI features used by millions of users

Incorporating new AI developments rapidly to keep Zoom AI Companion competitive and at the forefront of the market

What we’re looking for

Have 5+ years of experience in AI/ML engineering, backend/distributed systems engineering

Have experience building scalable, production-grade AI or agent-based systems

Demonstrate strong programming skills in one or more of: Python, TypeScript, Go, Java, C++, or Rust

Have experience with cloud platforms such as AWS, GCP, or Azure

Have hands-on experience with Kubernetes, containers, and CI/CD pipelines

Demonstrate an understanding of software architecture, observability, and performance optimisation

Hold a qualification in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Preferred:

Have experience building or evaluating AI agents and agentic workflows, and familiarity with modern agent frameworks

Demonstrate knowledge of prompt engineering, safety systems, and agent evaluation techniques

Have experience with AI development tools such as Claude Code or Codex

Salary Range or On Target Earnings:

Minimum:

$177,100.00

Maximum:

$387,500.00

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.

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

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

Anticipated Position Close Date:

07/24/26

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.

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.

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.

Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.

Compensation

This Machine Learning Engineer role pays $177k-$388k/yr. Within typical range for machine learning engineer roles in United States.

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation for Machine Learning Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Machine Learning Engineer hub for United States medians across recent openings.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, Personio, Teamtailor and other major ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.