Taotian Algorithm Technology

1. Responsible for the construction of Taochang's search algorithm system , including keyword understanding, relevance optimization, recall/refined ranking/rearrangement and other link optimization, shading/drop-down/search discovery and other shopping guide product optimization, to improve the user's shopping experience for search and purchase responsible for the linkage with public domain search, Through the knowledge and understanding of the hot sales, price elasticity, and label preferences of Taochang products across the entire network, we will use data, models, and other methods to promote the construction of a public domain search mechanism to achieve better growth and scale. 2. Responsible for the construction of Taochang factory recommendation algorithm system, in-depth understanding of user needs, design and optimization of recommendation full-link technology, including recall/coarse ranking/fine ranking/re-ranking and other link construction, and upgrade the recommended user experience to improve the recommended quality Experience indicators such as discoverability and richness responsible for the linkage with public domain recommendations, through the mining of target groups such as Tao Factory products' characteristic tags and price sensitivity, to improve more accurate traffic acquisition in the recommended domain, and help hyperlink core products obtain more Good cold start and blowout. 3. Responsible for the construction of Taochang Factory's advertising hosting system, in-depth understanding of Taotian's commercial products, optimization of core modules including keyword selection, bidding suggestions, budget allocation, intelligent product selection, etc., to help Taochang Factory products obtain traffic with better ROI. Responsible for Taobao The construction of the factory marketing hosting system includes intelligent scheduling of new product packages, store treasures and other marketing activities, and budget allocation of marketing activities and advertising hosting to improve input and output. 4. Participate in the exploration and research of cutting-edge issues, and provide comprehensive technical solutions based on practical application scenarios. , 1. Master's degree or above in computer, mathematics, statistics or related majors, with practical experience in search and promotion systems 2. Priority will be given to those who have published papers at top international conferences and participated in ACM or data mining & machine learning competitions (Tianchi Award) Competition, Kaggle) and winning awards will be given priority 3. Strong hands-on implementation ability, solid basic coding skills, proficient in algorithm development based on C++ or Python proficient in at least one deep learning framework such as pytorch/tensorflow/mxnet. 4. Good teamwork and innovation spirit, optimistic, introspective, down-to-earth and smart.