AI Audio Engineer

Ubiquiti

  • Taipei City
  • Permanent
  • Full-time
  • 20 hours ago
  • Apply easily
Description
  • 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
Basic Qualifications
  • 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.
Preferred Qualifications
  • 3+ years of industry experience with audio deep learning algorithm development and optimization.
  • Proven experience in implementing AI audio algorithms in production-level
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Ubiquiti

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