Audio AI Engineer

Zoom; Singapore; Hybrid; SGD 114,664 - 152,886; Full time

Benefits offered by this job

Support for physical, mental, and emotional health

Work-life balance initiatives

Community engagement opportunities

Job summary

A global technology company in Singapore is seeking an Audio AI Engineer to research and develop algorithms for various audio processing applications. The role demands expertise in deep learning frameworks and a PhD in a relevant field. Candidates should have experience with real-time systems and model optimization. The work environment supports hybrid working styles, and the company emphasizes a culture of health and community engagement, making it an ideal workplace for innovative spirits.

Qualifications

• Proficiency in deep learning frameworks like PyTorch or TensorFlow.
• Demonstrate effective programming skills in Python, C/C++, or similar languages.
• Understanding of sequence modelling architectures (Transformers, RNNs, diffusion models, or conformers).
• Demonstrate experience developing and deploying low-latency, real-time speech or audio models.

Responsibilities

• Research and develop algorithms for accent conversion, voice conversion, speech synthesis, and speech recognition.
• Prototype and refine end-to-end audio models.
• Evaluate and optimize model performance across quality, latency, and scalability.

Skills

Deep learning frameworks (PyTorch, TensorFlow)

Programming skills (Python, C/C++)

Understanding of sequence modelling architectures

Model compression and acceleration techniques

Experience with real-time audio systems

Education

PhD in a relevant field

Job description

Overview

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.

Qualifications

• Hold a PhD or equivalent experience in a relevant field in streaming, accent conversion, voice conversion, TTS, or ASR. More than two 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 modelling 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 centred 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 workplace culture, Zoom offers a variety of perks, benefits, and options to support physical, mental, emotional, and financial health; encourage work‑life balance; and foster community engagement.

EEO Statement

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.