As an Audio AI Engineer in Singapore, you will design and implement machine learning models to improve audio quality in Zoom Meetings and other products.
Key domains of focus include Noise Suppression, Speaker Recognition, and Voice Activity Detection.
This position encompasses both audio research and software development.
This person will partner closely with our global audio engineers to test and deploy machine learning models.
Requirements & Skills:
3+ years of work experience in Machine Learning or Ph.D degree in Machine Learning or digital signal processing
Have hands-on experience in speech enhancement, including Noise Suppression, Voice Activity Detection, Speaker Recognition, Echo Cancellation
Have hands-on experience in deep learning model optimization like quantization, neural architecture search, pruning
Experience with one or more general-purpose programming languages including but not limited to Python, C/C++, or Java
Demonstrate familiarity with one or more deep learning tools (e.g. Keras, TensorFlow, PyTorch)
Possess enthusiasm about applying Machine Learning or Artificial Intelligence Algorithms to Audio/DSP-related tasks.
