F0005 - AI Audio Engineer

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 Powered by JazzHR