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