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Zoom

Principal Machine Learning Engineer (AI Agentics / Generative AI)

Reposted Yesterday
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In-Office
Seattle, WA
207K-452K Annually
Senior level
In-Office
Seattle, WA
207K-452K Annually
Senior level
Design and implement agent architectures, build LLM powered services, optimize infrastructure, ensure safety protocols, and collaborate across teams.
The summary above was generated by AI
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.

Top Skills

AWS
Docker
Java
Kubernetes
Langchain
Python
PyTorch
Transformers

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