Taotian Algorithm Technology-Algorithm Engineer

We are self-operated with dynamic and professional strength The industry algorithm team is responsible for algorithm development and optimization of self-operated businesses such as Tmall Supermarket, Tmall International, and Kaola. Here we deeply explore user needs and consumption trends to create a product supply with more competitive price and quality. We not only focus on using cutting-edge algorithm technology to create an intelligent, personalized and efficient shopping experience, but also design strategic mechanisms in depth. Realize a complex business model that is win-win for users, platforms, and businesses. 1. Responsible for the algorithm research and development of core marketing fields/tools of Tmall Supermarket/Tmall International, using technologies such as causal inference, time series prediction, and operations optimization to solve problems such as dynamic pricing, field product selection, and joint pricing of multiple marketing tools to improve the performance of Tmall. Super user conversion, repurchase and GMV 2. Responsible for the research and development of Tmall Supermarket/Tmall International medium and long-tail product marketing hosting algorithm, using reinforcement learning, graph neural network and other technologies to realize fully automatic marketing pricing hosting of large-scale products, improving the cat Beyond operating profit and loss 3. Closely integrate business needs and cutting-edge technologies, continuously carry out technology application and innovation, and improve business results. ,1. Master's degree or above in computer, mathematics or statistics related majors, PhD is preferred 2. Have certain skills in machine learning, statistical analysis and other fields, more than 3 years of work experience, experience in recommendation/search/advertising and other fields Priority is given 3. Have solid coding skills, be proficient in at least one programming language, such as C/C++, JAVA, Python, etc., and be familiar with at least one open source deep learning framework, such as Tensorflow, Pytorch, etc. 4. Highly sensitive to data, Have good logical thinking, definition and problem-solving abilities 5. Good teamwork spirit, ability to learn quickly, excellent, rigorous, solid and optimistic 6. Candidates who have published papers in the following journals or rated conferences will be given priority: Machine learning, data mining, computational advertising and other related fields.