aimlroles

Audio AI Engineer

Zoom Open · verified Oct 22, 2026
San Jose Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Zoom. San Jose · full-time.

SalaryStated by Zoom

Zoom states pay in the role description below.

RoleAI Engineering
SeniorityMid-level
LocationSan Jose
EmploymentFull-time
PostedOct 14, 2026 · 8d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and deploy machine-learning models that identify synthetic speech and audio deepfakes
  • Create training data, evaluation methods and experiment pipelines for audio models
  • Test performance across speakers, languages, devices, codecs and acoustic settings, then address weaknesses
  • Turn research prototypes into dependable systems that can run at production scale
  • Work with research, engineering, product and security teams to set priorities and deliver solutions

What you bring

  • A PhD in a related technical field, or equivalent experience
  • Research or industry work in audio deepfake or synthetic speech detection, anti-spoofing or speaker recognition
  • Strong command of speech and audio signal processing, machine learning, deep learning and model evaluation
  • Proficiency in Python and a deep-learning framework such as PyTorch or TensorFlow
  • You can pursue research independently and turn findings into practical, scalable solutions

Who this fits

This role suits someone who can combine independent research with cross-functional delivery of audio AI systems. It requires on-site work five days a week at the San Jose, California office; remote and hybrid arrangements are unavailable.

From the employer

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.


About the Team

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.


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.

What We're Looking For

  • 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.

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:

10/21/26

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.


About Us
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.


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