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Principal Machine Learning Engineer (AI Agentics / Generative AI)
full-timeSeattle$206k - $451k

Summary

Location

Seattle

Salary

$206k - $451k

Type

full-time

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About this role

What you can expect

Join Zoom’s GenAI Engineering Team, the group driving innovation behind our AI Companion and next-generation autonomous AI systems. We’re passionate about building intelligent, responsible, and scalable AI solutions that empower people to communicate and collaborate more effectively.

About the Team

As a Principal Machine Learning Engineer, you will design, develop, and deploy advanced LLM-based agent architectures that can reason, plan, and execute complex tasks autonomously. You’ll collaborate with cross-functional teams across AI, infrastructure, and product engineering to deliver high-impact AI features that shape the future of Zoom’s platform.

Responsibilities

  • Designing and implementing autonomous agent systems capable of contextual reasoning and adaptive decision-making.

  • Developing and optimizing large-scale LLM-powered services, ensuring reliability, safety, and performance.

  • Building and maintaining prompt engineering frameworks and tools that enhance model accuracy and consistency.

  • Collaborating with product and research teams to translate business needs into scalable AI solutions.

  • Implementing safety, evaluation, and monitoring mechanisms for responsible AI deployment.

  • Mentoring and guiding other engineers in ML best practices, architecture design, and experimentation workflows

What we’re looking for

  • Hold academic qualifications in Computer Science, Artificial Intelligence, Machine Learning, or related field.

  • 7+ years of experience in machine learning or AI engineering, with expertise in LLMs, NLP, or agentic systems.

  • Demonstrate proficiency in Python and experience with frameworks such as PyTorch, Transformers, and LangChain.

  • Able to demonstrate understanding of model optimization, evaluation, and safety for AI systems.

  • Have experience building and deploying ML models in production environments using Kubernetes, Docker, and AWS.

  • Demonstrate collaboration and communication skills; ability to work effectively in cross-functional, diverse teams.

Salary Range or On Target Earnings:

Minimum:

$206,600.00

Maximum:

$451,800.00

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:

02/03/26

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. 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.


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.

Other facts

Tech stack
Machine Learning,Generative AI,LLM Architectures,Autonomous Agent Systems,Contextual Reasoning,LLM-Powered Services,Prompt Engineering,Model Optimization,Model Evaluation,AI Safety,Python,PyTorch,Transformers,LangChain,Kubernetes,Docker

About Zoom

Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom AI-first work platform you know and love. 💙

Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, Contact Center and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses.

We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you'll find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home

Team size: 5,001-10,000 employees
Website: www.zoom.com
LinkedIn: Visit
Industry: IT Services and IT Consulting
Founding Year: 2013

What you'll do

  • The role involves designing, developing, and deploying advanced LLM-based agent architectures capable of autonomous reasoning and planning. Responsibilities also include developing and optimizing large-scale LLM services while building prompt engineering frameworks and implementing safety mechanisms.

Ready to join Zoom?

Take the next step in your career journey

Frequently Asked Questions

What does Zoom pay for a Principal Machine Learning Engineer (AI Agentics / Generative AI)?

Zoom offers a competitive compensation package for the Principal Machine Learning Engineer (AI Agentics / Generative AI) role. The salary range is USD 207k - 452k per year. Apply through Clera to learn more about the full compensation details.

What does a Principal Machine Learning Engineer (AI Agentics / Generative AI) do at Zoom?

As a Principal Machine Learning Engineer (AI Agentics / Generative AI) at Zoom, you will: the role involves designing, developing, and deploying advanced LLM-based agent architectures capable of autonomous reasoning and planning. Responsibilities also include developing and optimizing large-scale LLM services while building prompt engineering frameworks and implementing safety mechanisms..

Why join Zoom as a Principal Machine Learning Engineer (AI Agentics / Generative AI)?

Zoom is a leading IT Services and IT Consulting company. The Principal Machine Learning Engineer (AI Agentics / Generative AI) role offers competitive compensation.

Is the Principal Machine Learning Engineer (AI Agentics / Generative AI) position at Zoom remote?

The Principal Machine Learning Engineer (AI Agentics / Generative AI) position at Zoom is based in Seattle, Washington, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Principal Machine Learning Engineer (AI Agentics / Generative AI) position at Zoom?

You can apply for the Principal Machine Learning Engineer (AI Agentics / Generative AI) position at Zoom directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Zoom on their website.