Video AI Engineer

Description

What you can expect​

As a Video AI Engineer, you’ll enhance video codecs, video generation, and real-time 3D reconstruction to improve video quality, immersion, and performance in Zoom products. You will work across our stack, developing software ranging from Web Server to business application layers for our distributed, cloud-hosted backend. Working alongside leading experts in the field, you’ll deliver happiness to our users and grow your knowledge base every day.

With eight specialized departments, the engineering team functions as a highly collaborative, diverse powerhouse. Each department mission is to deliver seamless and innovative communication solutions. These range from software development and machine learning to quality assurance teams that work to create and maintain Zoom's user-friendly interfaces and robust infrastructure. The team continues to push the boundaries of communication technology, bringing people together regardless of their physical distance.

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.

Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.

Responsibilities

• Building and developing video and generative video processing applications on both desktop and mobile systems.
• Participating in research and performance evaluation of video processing, video generation, and 3D reconstruction algorithms.
• Designing and developing algorithms in Zoom’s video and 3D reconstruction processing pipelines at both module and system levels.
• Implementing video, neural rendering, and 3D Gaussian Splatting algorithms with modular, well-organized, and production-ready code.
• Optimizing video, generative, and 3D reconstruction algorithms to achieve real-time performance on corresponding platforms.
• Customizing, integrating, and shipping deep learning models—including video generative models and 3D neural rendering models—across Mac, Windows, iOS, and Android.
• Setting up test environments, developing test tools, and designing unit tests for runtime verification of video and 3D pipeline components.

Requirements

• Hold a PhD degree in Electrical Engineering, Computer Science, Applied Mathematics, or a related field; or a Masters degree with 3 years of relevant experience; or 7 years of equivalent professional experience.
• Have experience with C/C++ or Objective-C, and Python, talking avatar / head /portrait(with released projects and top conference papers).
• Have hands-on experience with video generation or video diffusion models , neural rendering techniques (e.g., NeRF, 3D Gaussian Splatting ), and 3D reconstruction systems .
• Have hands-on experience with machine learning techniques such as generative models , diffusion models , discriminative models, or transfer learning.
• Possess experience with or a solid understanding of at least one deepfake detection approach . This includes biometric analysis–based methods , vision-language model (VLM)–based techniques, interactive behavior analysis , or multimodal signal modeling that leverages visual, temporal, and audio cues.
• Have familiarity with multi-threaded programming and communication mechanisms.
• Have understanding of multimedia stream data processing flows, ideally including 3D scene or point cloud pipelines.
• Salary Range or On Target Earnings:
• Minimum:
• $137,700.00
• Maximum:
• $275,400.00
• 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:
• 10/09/26
• 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.