Content Understanding LLM Algorithm Engineer Graduate (Global E-Commerce) - 2027 Start (PhD)
Core
Build and optimize domain-specific large language models (LLM/MLLM) for e-commerce governance, including content moderation, violation detection, and policy recommendation.
Role type
PhD-level LLM Algorithm Engineer
Builds
Intelligent review systems and governance algorithms 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, Parameter-efficient fine-tuning (PEFT), Chain-of-thought reasoning, Long text/sequence modeling, Few-shot learning
Preferred skills
Publications in top-tier conferences (ACL, EMNLP, NeurIPS, ICML, ICLR, CVPR), Competitive achievements (Kaggle, GLUE, Super GLUE, CLUE)
Technologies
LLM frameworks, Multimodal model architectures, Fine-tuning libraries
Responsibilities
Develop domain-specific LLMs for e-commerce scenarios; Optimize algorithms for merchant/product/video/live-stream/IPR governance; Construct data and enhance foundational models; Solve challenges in content moderation and violation detection; Research and optimize multilingual/multi-task/multi-modal algorithms
Seniority
PhD Graduate, Research & Development
