Senior Machine Learning Engineer - Acoustic Modeling

About the Role:

  • Apply deep learning techniques and neural networks to improve acoustic models for ASR
  • Innovate on state-of-the-art deep learning systems for speech recognition 

Requirements:

  • 8+ years experience of relevant industry experience
  • Understanding of modern machine learning techniques
  • Experience with Deep Learning / Neural Network frameworks such as Caffe, Tensorflow, Torch, PyTorch, MxNet, etc.
  • Strong programming skills on Linux using C++ and/or Python
  • Solid knowledge of algorithms and probability / statistics
  • MS / PhD in Computer Science or Electrical Engineering or Statistics or equivalent

Nice-to-Haves:

  • Experience working with automatic speech recognition systems
  • Experience in computer vision and pattern recognition
  • Knowledge of DSP principles, noise reduction, echo cancelation
  • Bilingual in English, Portuguese, Russian, or German

Meet Some of SoundHound, Inc.'s Employees

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Maisy sits on the Speech Team, taking audio input and creating neural networks that model the different phonemes associated with certain sounds in efforts to better understand patterns.


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