Machine Learning Engineer - AI Agent

About this role

• Seattle, Washington, United States

• Full time

What you can expect

As a Machine Learning Engineer on our GenAI Engineering team, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions. You'll take the lead in developing and enhancing AI algorithms, techniques, and solutions for our AI Companion product. Working closely with experienced researchers and engineers, you'll be part of a dynamic team dedicated to achieving groundbreaking results in agentic AI.

About the Team

The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion functionalities. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.

Responsibilities

• Building agentic systems that employ multi-step reasoning to plan task execution, intelligently orchestrate tool chains, and adapt integration strategies based on task requirements and environmental feedback
• Developing tool orchestration frameworks that enable agents to call APIs, use external tools, and coordinate workflows.
• Implementing evaluation frameworks and metrics for assessing agent reliability, latency, and success rate.
• Collaborating cross-functionally with product, research, and infrastructure teams to bring new agentic workflows into Zoom AI Companion.

What we’re looking for

• Possess a Bachelor's degree in Computer Science, AI, Machine Learning, Distributed Systems, or a related field.
• Have 5+ years of experience in machine learning, AI software, or related engineering.
• Be proficient in one or more programming languages such as Python, C, C++, or CUDA, with experience in building scalable software systems.
• Understand deep learning frameworks such as PyTorch, TensorFlow, or similar.
• Demonstrate experience in designing and developing AI agents or autonomous systems, with a strong understanding o...