Job responsibilities:

1. Develop and optimize a deep learning neural network model suitable for image processing and image analysis;

2. Quantitatively optimize and improve the strength segmentation and judgment accuracy of graphic images;

3. Interface with various software interfaces to provide efficient and stable deep learning deduction task processing;

4. Cooperate with the development supervisor and product manager to carry out innovative practice in related fields.

Requirements:

1. Proficient in Python programming language, and at the same time have a deep understanding of one or more of C/C++/C#, JavaScript, Lua and other programming languages.

2. Have a deep understanding of PyTorch framework and Tensor Flow.

3. Have a deep understanding of Yolo, Mask-RCNN and other neural networks.

4. Have practical experience in the calculation and optimization of CUDA calculation and CUDNN calculation, and master the corresponding optimization methods.

5. I only have a deep understanding of the basis of computer graphics and practical experience in the mathematical transformation of graphics.

6. Have a certain understanding of the direction of industrial vision and have relevant project experience.