What You’ll Be Doing:
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
Handle large amounts of audio data
Adapt machine learning and neural network algorithms and architectures to best fit the real-time requirement
Partner closely with other audio engineers to test and deploy machine learning models
Research and evaluate algorithms currently used in related applications.
Developing novel algorithms for audio deep learning projects.
Design new algorithms to solve new and existing problems.
Maintain and Improve current audio processing system
At least 18 years old, currently enrolled in a four-year academic institution completing a Ph.D. in Computer Science, Electrical Engineering, or a related STEM field. (Applicants must be graduating between December 2020 and September 2021 or be on track to earn their Bachelors or Masters or Ph.D. prior to the role start date)
Proficient in C++/C and Python.
Experience with real-time speech-related model optimization and
Strong knowledge of real-time audio communication modules, such as NS, AGC, AEC, etc.
Familiar with libraries for deep learning, such as TensorFlow, PyTorch, Keras, etc.
Experience in audio signal processing, such as STFT, Log-Mel frequency, etc.
Detail-oriented, organized, ethical, responsible, and self-motivated.
Team player, ability to work effectively in a matrix organization.
A passion for Zoom’s mission, vision, values, and culture.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Zoom’s values. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
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