Recommendation Large Model Researcher - Global E-commerce

Work on recommendation large model research for an international e-commerce mall, delivering more precise, personalized product, live, and short-video recommendations. Explore new paradigms that improve recommendation model architectures and infrastructure, including representation learning from content and user behavior, recommendation model parameter scaling, ultra-long sequence modeling, multimodal content understanding, and generative recommendation models. Contribute to research that significantly outperforms current baselines across key scenarios.