
F0005 - AI Audio Engineer
1 week ago
- Develop advanced audio applications including speech recognition, text-to-speech using state of art deep learning algorithms.
- Develop advanced audio signal processing algorithms including noise cancellation, localization, acoustic detection, acoustic fingerprinting.
- Analyze and optimize audio signal processing and deep learning algorithms on embedded devices
- M.S. / PhD in Computer Science, Machine Learning, Electrical Engineering related field
- Solid understanding of audio signal processing.
- Solid understanding and experience of applying deep learning to real problems in the fields of voice recognition, voice synthesis, and other audio related applications.
- Solid understanding of deep learning concepts, state of the art in audio processing research and the mathematics of machine learning
- Hands-on experience in deep learning frameworks for AI audio, e.g., Kaldi, Tensorflow, Pytorch, etc.
- 3+ years of industry experience with audio deep learning algorithm development and optimization.
- Proven experience in implementing AI audio algorithms in production-level
Ubiquiti
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