Research Scientist - LLM Applications for International E-commerce Scenarios - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Core
Building a next-generation foundational large model and agent-driven architecture for global e-commerce applications, integrating users, products, content, logistics, and inventory into a unified representation.
Role type
Research Scientist - LLM Applications for E-commerce
Builds
A global e-commerce foundation model supporting generative recommendation, time-series modeling, and agent-based systems to drive GMV growth and user retention.
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, Expertise in multimodal large models for long-text processing
Technologies
PyTorch, TensorFlow, SGLang, RLVR
Responsibilities
Design scalable tokenization mechanisms for billions of e-commerce items; Develop multilingual multimodal large models tailored for e-commerce scenarios; Reformulate recommendation problems as generative tasks using large models; Establish evaluation metrics and benchmarks for agent safety and compliance; Optimize model architectures and training strategies for high-dimensional temporal data and multimodal representations.
