Machine Learning Engineer & AI Agent

Job Overview

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.

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.

Qualifications

• 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 of agent architectures and integration patterns.
• Collaborate with cross‑functional teams and present technical concepts to both technical and non‑technical audiences.

Compensation

Base Salary Range: $137,700.00 – $275,400.00. Total Direct Compensation includes base salary, bonus, and equity value. Starting pay will be commensurate with qualifications and experience. Compensation may vary by location.

Benefits

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.

Work Arrangement

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.

EEO / Accommodations

We welcome people of different backgrounds, experiences, abilities and perspectives. We are 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. We also accommodate qualified applicants with arrest and conviction records and those requiring reasonable accommodations in accordance with the law. Submit an Accommodations Request Form if you need assistance due to a medical disability.