What you can expect
As an Audio AI Engineer in Singapore, you will design and implement machine learning models to improve audio quality in Zoom Meeting and other products. Key domains of focus include Noise Suppression, Speaker Recognition, 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.
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.
What we’re looking for
- 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.