About
Zoomies help the world connect — and deliver happiness while doing it. We set out to build the best video conferencing product for the enterprise, and today help people communicate better with products like Zoom Phone, Zoom Rooms, Zoom Video Webinars, Zoom Apps, and OnZoom.
We’re problem-solvers and self-starters, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to dig deep into impactful projects that are changing the way people communicate, and enjoy opportunities to advance your career in a diverse, inclusive environment.
What You’ll Be Doing:
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Design and implement machine learning models on front end audio tasks to improve audio quality in Zoom’s online meeting (e.g. Noise Suppression, Voice Activity Detection, Speaker Recognition
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Handle large amounts of audio data
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Adapt machine learning and neural network algorithms and architectures to best fit the real-time requirement
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Partner closely with other audio engineers to test and deploy machine learning models
Qualifications:
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Bachelor's degree in EE, CS or related technical field with 10+ years of relevant working experience
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Enthusiastic in applying Machine Learning or Artificial Intelligence Algorithms to Audio/DSP related tasks
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Familiar with one or more deep learning toolkits (e.g. Keras, Tensorflow, PyTorch)
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Ability to run experiments scientifically and analyze results
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Experience with one or more general-purpose programming languages including but not limited to: Python, C/C++ or Java
Bonus Qualifications:
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Masters or Ph.D Degree in EE, CS or related technical field
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3+ years of work experience or Ph.D degree in Machine Learning or digital signal processing
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5+ years industry experience with specialization in digital signal processing, machine learning or ASR
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Hands-on experience in deep learning model optimization like quantization, neural architecture search, pruning