Principal Machine Learning Engineer (AI Agentics / Generative AI)

Zoom CommunicationsSeattle, WA
4dHybrid

About The Position

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. 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.

Requirements

  • 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.

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

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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