Audio AI Engineer

Description

What You Can Expect

As an Audio AI Engineer on Zoom's applied research team, you will advance the frontier of audio intelligence by developing and deploying machine-learning models that protect users from synthetic speech and audio deepfakes. Your work will have direct impact on platform trust and security, translating cutting-edge research into robust, production-ready systems. Each day brings a mix of independent experimentation, cross-functional collaboration with research, engineering, product, and security partners, and applied problem-solving at real-world scale. This position requires on-site presence five (5) days per week at our San Jose, California office. Remote or hybrid arrangements are not available for this role.

Zoom's AI Research and Engineering team operates at the intersection of innovation and product, building foundational capabilities that power Zoom Workplace experiences for hundreds of millions of users worldwide. The audio AI group is focused on speech intelligence, security, and trust, ensuring that voice and video communications remain authentic and protected as generative technologies evolve. Your contributions here influence the integrity of Zoom's platform and help shape the broader industry conversation around responsible AI.

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

• Research, design, and develop machine-learning models for audio deepfake and synthetic speech detection.
• Design training datasets, evaluation frameworks, and experimental pipelines for audio AI models.
• Improve model accuracy and robustness across diverse speakers, languages, devices, codecs, and acoustic environments.
• Analyze model failures and engineer solutions for reliable, real-world deployment.
• Translate research prototypes into scalable, production-ready systems.
• Collaborate cross-functionally with research, engineering, product, and security teams to align on priorities and ship impactful work.
• Track and apply emerging developments in speech AI, generative audio, voice cloning, and deepfake detection.

Requirements

• PhD in Computer Science, Electrical Engineering, Machine Learning, Speech/Audio Processing, or a related field, or equivalent experience.
• Research or industry experience in audio deepfake detection, synthetic speech detection, anti-spoofing, or speaker recognition; experience with generative audio, voice cloning, or adversarial machine learning is a plus.
• Strong knowledge of speech and audio signal processing, with familiarity with large-scale or multilingual audio datasets a plus.
• Deep understanding of machine learning, deep learning, model evaluation, and experimental design.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow; experience deploying and optimizing ML models in production is a plus.
• Ability to conduct independent research and translate findings into practical, scalable solutions.
• Publications in recognized speech, audio, AI, or machine learning venues are a plus; strong problem-solving, collaboration, and communication skills required.

Conditions

Minimum:

$137,700.00

Maximum:

$275,400.00&xa;&xa;

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:

10/21/26

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.