大模型应用算法工程师-中国电商
Core
Develop and optimize large language models (LLMs) and multimodal models for e-commerce risk identification, content governance, and after-sales service understanding.
Role type
Senior IC machine-learning engineer (e-commerce governance & LLMs)
Builds
Risk identification systems, automated content governance tools, and after-sales service MLLM base models for merchants and influencers.
Domain
E-commerce, Content Safety, Large Language Models, Multimodal AI
Deliverable
production ML models
Required skills
Large language model training and application, Multimodal model development, NLP and Computer Vision expertise, Reinforcement learning, Data synthesis, Graph learning, RAG and Agent frameworks, Python, PyTorch, Linux environment development, Data structure and algorithm design
Preferred skills
E-commerce platform governance experience, Content safety experience, SFT and CoT implementation experience
Technologies
PyTorch, Python, Linux, RAG, Agent, RL, Graph databases
Responsibilities
Optimize LLMs for risk identification in merchant/influencer onboarding, product listing, and after-sales scenarios; Iterate governance models to improve rule understanding and automatic issue resolution; Enhance model reasoning and reflection capabilities using SFT, CoT, and data synthesis; Build data models for live streaming, products, and merchants to support risk gang mining; Construct graph storage and learning platforms for entity relationship mapping; Develop MLLM base models for after-sales service using RAG and Agent technologies.
