Research Scientist Graduate (E-Commerce Recommendation Region) - 2027 Start (PhD)

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

• Build e-commerce recommendation at global scale, end to end. Design and improve the recommendation systems for a platform serving over a billion users, across shoppable videos, LIVE streams and products. You will work on every stage, from retrieval and pre-ranking to ranking and final blending.
• Pioneer generative and LLM-powered recommendation. Use LLMs and generative models to change how recommendation works: generative retrieval, LLM reasoning about user intent (LLM4Rec), and multimodal understanding of AI-generated content (AIGC).
• Optimize decisions with RL, causal inference and operations research. Frame traffic allocation, buyer acquisition and compute allocation as rigorous optimization problems. Use reinforcement learning, causal and uplift modeling, and constrained optimization to decide where each impression and each unit of compute creates the most incremental value.