Audio AI Engineer

What you can expect

As an Audio AI Engineer, you will research and develop algorithms for accent conversion, voice conversion, speech synthesis, and speech recognition on low-latency streaming architectures. You’ll prototype and refine end-to-end audio models that enhance intelligibility and naturalness while maintaining speaker identity. Working closely with product and platform teams, you’ll help bring these models into real-time communication systems. You will also evaluate and optimize model performance across dimensions such as quality, latency, and scalability. Staying current with advances in speech processing, you’ll contribute to innovation through patents and internal knowledge sharing.

About the Team

Zoom's Audio team develops real-time audio features based on AI algorithms. Members of the team are spread worldwide, including the U.S., China and Singapore.

Responsibilities

Researching, designing, and developing algorithms for accent conversion, voice conversion, speech synthesis, and automatic speech recognition, focusing on low-latency streaming architectures.

Prototyping end-to-end audio models that enhance intelligibility and naturalness while preserving speaker identity and expressiveness.

Collaborating closely with product and platform teams to integrate models into real-time video and audio communication systems.

Analyzing and optimizing model performance across speech quality, latency, robustness, and scalability dimensions.

Staying current with the latest developments in speech processing research, and contribute to the community through patents, and internal knowledge sharing.

What we’re looking for

Hold a PhD or equivalent experience in a relevant field in Streaming, Accent Conversion, Voice Conversion, TTS, or ASR. More than 2 years of relevant industry experience considered a plus.

Show proficiency in deep learning frameworks like PyTorch or TensorFlow.

Demonstrate effective programming skills in Python, C/C++, or similar languages.

Have an understanding of sequence modeling architectures (Transformers, RNNs, diffusion models, or conformers).

Demonstrate experience developing and deploying low-latency, real-time speech or audio models with streaming architectures and optimized pipelines.

Show familiarity with model compression and acceleration techniques, including quantization, pruning, and distillation.

Exhibit experience working with real-time audio systems in networked communication environments.

Publish in top-tier conferences such as Icassp, Interspeech, NeurIPS, and ICLR.

Zoom Communications, Inc.

(

Zoom

) is an American communications technology company headquartered in

San Jose, California

. It provides

videotelephony

and

online chat

services through a cloud-based

peer-to-peer

software platform and is used for

teleconferencing

,

telecommuting

,

distance education

, and

social relations

.

[2]

[3]

Zoom's business strategy focuses on providing an easier to use product than competitors, as well as cost savings, which include minimizing computational costs at the infrastructure level and having a high degree of employee efficiency.

Zoom is an award-winning workplace. We have been recognized by Comparably as #1 CEO, Company Happiness, Benefits, Compensation, Diversity and more! Not to mention we've been awarded by Glassdoor as the 2nd Best US Workplace and Best Large Company US CEO in 2018, Wealthfront and Business Insider. Our culture focuses on delivering happiness, our commitment to transparency and the tangible benefits that we provide to our employees and our customers.