Large Recommendation Model Algorithm Engineer Graduate (Global E-Commerce) - 2027 Start
Core
Building unified Foundation Models for multi-scenario e-commerce recommendation systems, integrating LLMs, multimodal understanding, and generative capabilities.
Role type
Graduate Large Recommendation Model Algorithm Engineer
Builds
Unified Foundation Models supporting retrieval, ranking, and re-ranking pipelines
Domain
E-commerce, Large Language Models, Generative AI
Deliverable
production ML models
Required skills
Python, PyTorch, Machine Learning, Deep Learning, Information Retrieval
Preferred skills
Large-scale recommendation system development, LLM training, Reinforcement Learning, Generative recommendation research
Technologies
LLMs, VLMs, PyTorch
Responsibilities
Build and optimize cross-scenario shared Foundation Models; Advance event-sequence-driven generative recommendation paradigm; Apply LLM technologies across retrieval, ranking, and re-ranking stages; Explore integration of LLMs/VLMs with recommendation systems; Research end-to-end generative recommendation and system optimization methods.
Seniority
Graduate (Entry-level)