Senior AI and Deep Learning Architect – Audio Signal Processing

Job description

  • Implementing novel deep neural network architectures and learning techniques to solve a variety of audio related tasks and push the state of the art in performance. 
  • Research and develop advanced audio applications including speech recognition, voice recognition, voice wakeup using state of art deep learning algorithms. 
  • Research and 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 mobile/embedded devices, e.g., using hardware acceleration such as GPU/DSP.

Requirements

  • M.S. in Computer Science, Machine Learning, Electrical Engineering, Robotics or similar field (Ph.D. is preferred). 
  • Solid understanding on audio signal processing.  
  • Solid understanding and experience of applying deep learning to real problems in the fields of voice recognition, speech recognition, and other audio related applications. 
  • Holistic understanding of deep learning concepts, state of the art in audio processing research and the mathematics of machine learning. Familiar with CNN, RNN, LSTM. 
  • Strong experience in C/C++ programing. 
  • Hands-on experience in deep learning frameworks, e.g., OpenCV, TensorflowKerasPytorch, and Caffe. 
  • Ability to quickly adapt to new situations, learn new technologies, and collaborate and communicate effectively. 
  • 3+ years of industry experience with deep learning algorithm development and optimization. 
  • Experience with parallel computing, GPU/CUDA, DSP, and OpenCL programming is a plus. 
  • Top-tier conference publication records, including but not limited to CVPR, ICCV, ECCV, NIPS, ICML, is a strong plus.

Location

10052 Mesa Ridge Court, Suite 101 San Diego, CA 92121

Contact

If interested, please send your resume to:  career@kneron.us