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AI and Deep Learning Engineer
Kneron · Posted 95 days ago
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Job description
-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.
Requirements
- 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.
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This role centers on Deep Learning, Neural Networks, Computer Vision, and Audio Applications. There are 8 open roles at Kneron right now.
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