Business Technology-NLP&Multimodality Algorithm Engineer

Using Taobao and Tmall's massive product and business data, national standardization Information, encyclopedia data, and UGC data build Taobao Tmall product knowledge base and e-commerce industry large model, support multiple business scenarios such as intelligent release of products, intelligent shopping guide, and product library management, and realize comprehensive intelligentization of structured product warehousing 1. Build a large model of the e-commerce industry based on large-scale e-commerce data, explore pre-training/SFT/reinforcement learning and other technologies for large text models and multi-modal large models, and improve the overall effect of various downstream tasks 2. Use NLP and CV related Technology (NER, entity linking, graph attributes, etc.) to understand product information, structure massive data, and build rich data assets and capabilities such as product portraits, product label systems, and standard product systems 3. Based on product understanding and Structuring capabilities enable the intelligent release of products, support the intelligent generation of product types, attributes, release copy and other content, and improve the efficiency and quality of product release. ,1. Master degree or above, possess a complete and solid basic computer knowledge system, and have in-depth research or development experience in the fields of deep learning, NLP/multimodality 2. Have a solid theoretical foundation in one or more of the following fields And more than 1 year of relevant work experience: knowledge graph, natural language processing, large models, multi-modality 3. Solid programming foundation, proficient in at least one programming language, proficient in at least one deep learning framework, proficient in distributed training Candidates with framework and big data processing technology are preferred 4. Have good business sensitivity and be able to develop innovative and practical algorithms to solve complex business problems 5. Publish relevant papers in international conferences/journals related to artificial intelligence priority.