Machine Learning Engineer - Acoustic Modeling
San Francisco, CA

Job Description

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 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