Content Understanding LLM Algorithm Engineer Graduate (Global E-Commerce) - 2027 Start (PhD)
Core
Develop and optimize large language models (LLM/MLLM) and multimodal algorithms for e-commerce governance, risk mitigation, and ecosystem quality.
Role type
PhD-level LLM Algorithm Engineer (E-commerce Governance)
Builds
Domain-specific LLMs, intelligent review systems, and governance optimization tools for e-commerce platforms.
Domain
E-commerce, NLP, Multimodal AI, Large Language Models
Deliverable
production ML models
Required skills
Deep learning, Reinforcement learning, NLP, Multimodal learning, Algorithmic frameworks, Data structures
Preferred skills
Publications in top-tier conferences (ACL, EMNLP, NeurIPS, ICML, ICLR, CVPR), Competition achievements (Kaggle, GLUE, Super GLUE, CLUE)
Technologies
LLM, MLLM, PEFT, Chain-of-Thought (CoT), Fine-tuning
Responsibilities
Build domain-specific LLMs for e-commerce scenarios; Develop intelligent review systems for content moderation; Optimize models via data construction and fine-tuning; Solve long-text modeling and violation detection challenges; Research multilingual and multi-task algorithm performance.
Seniority
PhD, Research & Development
