大模型算法工程师（智能对话）-国际电商
Core
Design and implement AI-driven conversational customer service assistants to handle e-commerce inquiries, complaints, refunds, disputes, and logistics issues, replacing traditional human agents.
Role type
Senior IC large language model (LLM) algorithm engineer (conversational AI)
Builds
AI conversational agents for e-commerce customer support
Domain
E-commerce + Large Language Models (LLM)
Deliverable
production ML models
Required skills
LLM fine-tuning, instruction tuning, reinforcement learning, knowledge distillation, RAG, MoE, sparse attention, reasoning optimization, multi-language NLP, machine translation, cross-lingual dialogue modeling, model compression, quantization, inference optimization
Preferred skills
Complex agent system deployment, high-level paper publications (ACL, EMNLP, COLING, WWW, AAAI), competitive programming awards (ACM ICPC, NOI/IOI, Top Coder, Kaggle)
Technologies
C++, Java, Go, Python
Responsibilities
Design and implement AI conversational agents; optimize LLMs using advanced training techniques; build benchmark datasets and training sets for specific scenarios; develop multi-language and cross-cultural support capabilities; research and deploy model compression and inference optimization techniques.
Seniority
Senior, hands-on IC
