About this role
Research and develop low-latency algorithms for speech synthesis, recognition, and voice conversion. Collaborate with product teams to integrate these AI models into real-time communication systems while optimizing for quality and scalability.
Requires a PhD or equivalent experience in speech processing fields and proficiency in deep learning frameworks like PyTorch or TensorFlow. Candidates should have experience deploying real-time audio models and publishing in top-tier conferences like NeurIPS or ICASSP.
What they're looking for
PyTorchTensorFlowPythonC/C++TransformersRNNsDiffusion ModelsConformers
Frequently asked questions
What does a Audio AI Engineer at Zoom do?
Research and develop low-latency algorithms for speech synthesis, recognition, and voice conversion. Collaborate with product teams to integrate these AI models into real-time communication systems while optimizing for quality and scalability. Requires a PhD or equivalent experience in speech proces…
What skills does this Audio AI Engineer role need?
Key skills for this role include PyTorch, TensorFlow, Python, C/C++, Transformers, RNNs.
How much does a Audio AI Engineer at Zoom pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Audio AI Engineer role remote, hybrid, or on-site?
This role is hybrid, based in Singapore.
How do I apply for this Audio AI Engineer role?
You can apply directly on Zoom's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.