Audio AI Engineer

About the role

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. 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.

Requirements

• 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.
• 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

Additional Information

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.

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Company Intel

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