Senior AI and Deep Learning Architect – Audio Application and NLP


1. 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.
2. Research and develop advanced audio applications including speech recognition, voice recognition, voice wakeup using state of art deep learning algorithms.
3. Research and develop advanced audio signal processing algorithms including noise cancellation, localization, acoustic detection, acoustic fingerprinting.
4. Analyze and optimize audio signal processing and deep learning algorithms on mobile/embedded devices, e.g., using hardware acceleration such as GPU/DSP.


1. M.S. in Computer Science, Machine Learning, Electrical Engineering, Robotics or similar field (Ph.D. is preferred).
2. Solid understanding on audio signal processing.  
3. Solid understanding and experience of applying deep learning to real problems in the fields of voice recognition, speech recognition, and other audio related applications.
4. 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.
5. Strong experience in C/C++ programing.
6. Hands-on experience in deep learning frameworks, e.g., OpenCV, Tensorflow, Keras, Pytorch, and Caffe.
7. Ability to quickly adapt to new situations, learn new technologies, and collaborate and communicate effectively.
8. 3+ years of industry experience with deep learning algorithm development and optimization.
9. Experience with parallel computing, GPU/CUDA, DSP, and OpenCL programming is a plus.
10. Top-tier conference publication records, including but not limited to CVPR, ICCV, ECCV, NIPS, ICML, is a strong plus.


Taipei/Hsinchu/USA_San Diego/Shenzhen/Zhuhai


If interested, please send your resume to: /