job description
1. Responsible for the development and iteration of search & recommendation algorithms in e-commerce scenarios, including but not limited to: query understanding, semantic recall, deep learning modeling for click-through rate, conversion rate, repurchase and other targets, multi-objective ranking optimization, traffic regulation algorithm, AutoML, etc. 2. Responsible for the construction of business knowledge graphs in e-commerce scenarios, including but not limited to: entity extraction, relationship extraction, multimodal content understanding, multimodal semantic matching, text generation, knowledge fusion, knowledge expression and reasoning and other technologies 3. Responsible for the construction of user operations and user growth systems and core algorithm development in e-commerce scenarios, including but not limited to: user interest modeling, LTV estimation, personalized rights and interests delivery, personalized message push, traffic channel delivery efficiency optimization and other technologies 4. Based on massive data and computing platforms, in-depth business characteristics, retail knowledge mining and domain modeling. Job Requirements
1. Degree in natural language processing, machine learning, data mining, artificial intelligence and other related majors 2. Solid programming foundation, proficiency in deep learning frameworks such as tensorflow and pytorch 3. Experience in algorithm development in related fields, with recommendation, search, advertising and NLP background preferred, and e-commerce background preferred 4. Strong data-driven analysis and problem-solving skills, willing to think 5. Good teamwork spirit and good communication skills. 6. Passionate about technology, with good motivation and strong self-drive. 
