About the Role:

  • This is a fantastic opportunity to join the core group working on Speech Recognition at SoundHound
  • Research state-of-the-art methods in Automatic Speech Recognition
  • Collaborate with Machine Learning engineers to prototype and productionize promising methods

Requirements:

  • Experience with Automatic Speech Recognition systems
  • Knowledge of ASR technologies such as: acoustic modeling, language modeling, HMM, WFST, neural networks, feature extraction
  • Solid software engineering experience
  • Hands-on experience in any full stack ASR tool kit, e.g. Sphinx, Kaldi, HTK, Julius
  • PhD in Speech Recognition or equivalent
  • At least ten years experience in the ASR space

Nice-to-haves:

  • Research work/publications in applying Deep Learning methods to Speech Recognition
  • Deep fluency with academic fields relevant to Speech Recognition
  • Experience in computer vision and pattern recognition
  • Knowledge of DSP principles, noise reduction, echo cancelation

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