Computer Vision R&D Engineer-Flow

1. Responsible for R&D innovation, effect optimization and engineering implementation in the direction of image and video vision algorithms 2. Follow up on the latest research in research fields such as image generation, 3D vision, semantic segmentation, computational photography, and facial special effects 3. Responsible for the development of efficient models, low-cost fine-tuning, small sample training, Prompt engineering, and RLHF research and implementation of Diffusion Model/language model.

1. Bachelor degree or above in computer/electronic information/mathematics related majors 2. Good programming foundation in C++ or Python 3. Familiar with the basic algorithms of image processing/graphics, with a solid algorithm foundation, dare to try new methods, and have the ambition to expand the new field of AI computer vision 4. Familiar with common CV libraries and deep learning frameworks (Caffe/PyTorch/TensorFlow, etc.) 5. Love code, have good communication skills, be curious, responsible, and dare to challenge difficulties.