Research Scientist Intern - LLM Applications for International E-commerce Scenarios - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Core
Building a next-generation foundational large model purpose-built for global e-commerce applications, integrating users, products, content, logistics, and inventory into a unified representation.
Role type
PhD Research Scientist Intern (LLM Applications)
Builds
A global e-commerce foundation model to drive GMV growth and user retention through generative recommendation, time-series large models, and agent-based systems.
Domain
Global E-commerce, Large Language Models, Multimodal AI
Deliverable
production ML models
Required skills
Deep Learning, NLP, Computer Vision, Reinforcement Learning, Generative Models, Multimodal Learning, Data Structures, Algorithms, Mathematical Modeling
Preferred skills
Publications in top AI/CS conferences (NeurIPS, ICML, ICLR, CVPR, ACL, KDD, SIGIR, WWW), Experience in Search/Advertising/Recommendation systems, LLM project leadership
Technologies
SGLang, RLVR, Tokenization mechanisms, Multimodal large models
Responsibilities
Design scalable tokenization mechanisms for billions of items; Develop multilingual multimodal large models for e-commerce; Reformulate recommendation problems as generative tasks; Establish evaluation metrics and benchmarks for agent systems; Optimize model architectures and training strategies for scaling.
Seniority
PhD Intern
