AI and Deep Learning Engineer

• M.S. in Computer Science, Machine Learning, Electrical Engineering, Robotics or similar field (Ph.D. is preferred).
• Solid understanding and experience of applying deep learning to real problems in the fields of audio applications and computer vision applications.
• 3+ years of industry experience with deep learning algorithm development and optimization.
• Strong experience in C/C++ programing is a plus.
• Hands-on experience in deep learning frameworks, e.g., OpenCV, Tensorflow, Keras, Pytorch, and Caffe.
• Ability to quickly adapt to new situations, learn new technologies, and collaborate and communicate effectively.
• 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, are strong plus.

Implementing novel deep neural network architectures and learning techniques to solve a variety of computer vision and audio related tasks and push the state of the art in performance.

• Research and develop audio applications including speech recognition, voice recognition, voice wakeup using state of art deep learning algorithms.
• Research and develop computer vision applications including 3D estimation, segmentation and so on.
• Deploy deep learning models onto Kneron AI accelerator.
• Intern or full time.