Machine Learning Engineer - Acoustic Modeling at Soundhound

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:

  • Understanding of modern machine learning techniques
  • Experience with Deep Learning / Neural Network frameworks such as Tensorflow, PyTorch, Caffe, Torch, 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
  • Professional working level fluency in written and spoken English

Nice-to-Haves:

  • Experience working with automatic speech recognition systems
  • Experience working with speaker identification and keyword spotting
  • Experience in computer vision and pattern recognition
  • Knowledge of DSP principles, noise reduction, echo cancelation

  • Note: Please submit your resume in English

Remember to mention that you found this on ESCE CareerGate