Number of Applicants
:000+
1. Participate in the construction of the content tag system, combining multiple Modal technology and large model technology explore faster and more efficient content understanding paradigms such as few-shot/zero-shot. 2. Participate in the construction of visual retrieval algorithms for duplicate and similar content, combine large-scale clustering, graph network and other algorithms, and combine business characteristics to mine original/transported content. ,1. Postgraduate degree or above in computer-related majors. 2. Be proficient in the principles of deep learning algorithms, and have a deep understanding and application in at least one of the directions of computer vision, natural language processing, speech recognition, etc. Applicants with published papers or good competition results will be given priority. 3. Have excellent programming skills and be able to skillfully use C/C++/Python and deep learning frameworks to design and develop cutting-edge algorithms in the industry and implement them. 4. Good learning ability, excellent communication skills and strong sense of responsibility. Able to constantly update the knowledge system and have the courage to embrace changes.
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