1. Research and develop sate of the art deep learning compression including model distillation, pruning, quantization, and others for CNN, RNN and LSTM graphs.
2. Use deep learning frameworks such as TensorFlow, Caffe2 or PyTorch to develop advance training algorithm to auto prune and reach low-bit quantization.
3. Apply model computation reduction techniques to computer vision applications and others.
4. Close interaction with System, Hardware and Software architects to best leverage the features of the CNN engine and run time.
5. Ability to travel internationally up to 5% of the time to work with partners.
1. Master degree in Engineering, Computer Science, Imaging Science, related field or equivalent practical experience.
2. Used to work in computer vision and machine learning with a focus on deep learning.
3. Solid understanding of CNN, RNN, LSTM and their training using hyper-parameters tuning.
4. Familiar to code with Python or C++.
5. Experience with SW development processes (project planning, version control, bug tracking)
6. Excellent teamwork and communication skills.
7. Able to speak and write English fluently.
8. Has relative experience of image recognition.
新北市連城路192號
ViewSonic(優派)是全球視訊解決方案的領導品牌，公司於1987年創立於美國加州，目前在全球設有100多個營運或服務據點。ViewSonic致力於提供整合硬體、軟體及服務的全方位解決方案，產品線含括顯示器、投影機、商用顯示看板、智慧互動電子白板ViewBoard和軟體解決方案myViewBoard。憑藉著在顯示器的視覺技術專業，跨足不同視訊應用領域，深耕教育、商用、消費娛樂、專業顯示市場。