智能客服大模型算法工程师-商业信任与安全
Core
Develop and optimize core algorithms for intelligent customer service dialogue systems, including agent collaboration, memory management, and dynamic context engineering.
Role type
Senior IC large model algorithm engineer (customer service)
Builds
End-to-end model training and alignment systems (SFT/RLHF), high-quality data pipelines, and automated evaluation frameworks for model optimization.
Domain
Customer service + Large Language Models (LLMs) + Multi-agent systems
Deliverable
production ML models
Required skills
TensorFlow, PyTorch, Large model training, Reinforcement learning, NLP, Mathematical modeling, Problem abstraction
Preferred skills
Multi-agent collaboration, High-impact project leadership, Top-tier conference publications (ACL, EMNLP, COLING, WWW, AAAI)
Responsibilities
Design agent collaboration modes and memory management strategies; Build data pipelines to drive model evolution; Lead automated evaluation and quality assurance systems.
Seniority
Senior, hands-on IC
