Large Recommendation Model Algorithm Engineer Intern (Global E-Commerce) - 2027 Start
Core
Building next-generation recommendation intelligence using unified Foundation Models and event-sequence-driven generative paradigms.
Role type
Intern, Large Recommendation Model Algorithm Engineer
Builds
Unified Foundation Models for multi-business recommendation systems (retrieval, ranking, re-ranking)
Domain
E-commerce, Generative AI, Large Language Models (LLMs)
Deliverable
production ML models
Required skills
Python, Deep Learning frameworks (PyTorch), Machine Learning theory, Information Retrieval
Preferred skills
Large-scale recommendation system development, Large-model training, LLM/VLM research, Reinforcement Learning, Generative recommendation research
Technologies
LLMs, VLMs, PyTorch, Foundation Models
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; Research end-to-end generative recommendation and system optimization methods.
Seniority
Intern