Large Recommend Model Algorithm Engineer - Global E-Commerce
Core
Building unified Foundation Models for multi-scenario e-commerce recommendation systems, integrating LLMs, multimodal understanding, and reinforcement learning to enable generative recommendation.
Role type
Senior IC machine-learning engineer (generative recommendation & Foundation Models)
Builds
Unified Foundation Models for retrieval, ranking, and re-ranking across e-commerce scenarios
Domain
E-commerce, Large Language Models, Generative AI
Deliverable
production ML models
Required skills
Machine learning theory, Deep learning, Python, PyTorch, Large-scale recommendation systems, LLMs, Multimodal learning, Reinforcement learning
Preferred skills
Large-model training, Research publications, Pre-training and post-training processes
Technologies
PyTorch, LLMs, VLMs
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
Senior, hands-on IC