1.   Background: expertise in AI, Deep Learning, machine learning and computer vision techniques
2.   Experience with OpenCV, Python/Matlab image processing packages
3.   Experience with projects of visual object detection/object recognition, image segmentation, image classification, visual search, 3D vision/AR.
4.   Experience with Neural Network families, such as CNN, RNN/LSTM, GAN.
5.   Experience with one or more of the following frameworks: Caffe, TensorFlow, MXNet, Torch, Theano, and Caffe2 is a plus. Experience with development customized Deep Learning inference framework is big plus.
6.   Programming experience in C/C++, Python, and MATLAB
7.   Experience with software engineering tools and linux environment (e.g., Git, CMake, CI, gdb, etc)
8.   Knowledge of parallel computing, CUDA, OpenCL is a plus
9.   Experience with mobile application development is a plus
10. Publications on top-tier conference, such as CVPR/ICCV/ECCV/NIPS, are big plus.