Senior Machine Learning Engineer

Machine Learning Engineer

We're seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.

About The Team

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

Responsibilities

Designing and implementing agent architectures that can reason about tasks, plan actions, and execute solutions.

Building and maintaining LLM powered services using models like GPT-4, Claude, and internal models.

Optimizing model infrastructure for performance, scalability, and cost efficiency.

Establishing safety measures and oversight protocols for independent systems.

Collaborating across teams to integrate AI capabilities into Zoom's products

What We're Looking For

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

5+ years of experience in ML engineering, including production-level systems.

Demonstrate expertise in working with large language models, NLP, and transformer-based architectures.

Demonstrate experience using python or Java and frameworks such as PyTorch, Transformers, and LangChain.

Have experience with cloud infrastructure stack (Kubernetes, Docker, AWS).

Demonstrate good communication, collaboration, and leadership skills to thrive in a cross-functional environment.

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.

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.

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.

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.

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. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.

Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.