Large Recommendation Model Algorithm Engineer - Global E-Commerce

Build and optimize cross-scenario shared foundation models for e-commerce recommendation, advancing an event-sequence-driven generative paradigm. Apply LLM and multimodal technologies across retrieval, ranking, and re-ranking, contributing to model training and inference optimization. Research end-to-end generative recommendation and system optimization methods that balance efficiency and user experience, including integrating LLMs/VLMs to create adaptive intelligent recommenders.