模型与工具运营负责人-CQC
Core
Lead end-to-end operations and optimization of content risk control models, integrating LLMs, Agents, and traditional ML to balance governance with business growth.
Role type
Senior IC Machine Learning Operations Lead (Content Risk Control)
Builds
Content risk control systems, multi-agent frameworks, and automated workflow solutions for risk perception and incident response.
Domain
Internet / Content Safety / Large Language Models / Multi-modal AI
Deliverable
production ML models
Required skills
LLM application & optimization, SFT & RL, multi-agent system design, traditional CV/NLP/Graph models, model operations & monitoring, ROI-driven solution selection, cross-functional project management
Preferred skills
Agent framework construction (auto-Workflow, Harness), experimental design for model evaluation, business process standardization
Technologies
LLMs, Agents, Auto-Workflow, Multi-Agents, Harness, Computer Vision, NLP, Graph Networks
Responsibilities
Define and execute model requirements for content risk control; lead LLM and Agent capability building including SFT and RL; integrate multi-modal models to improve accuracy/recall; optimize and automate the end-to-end risk control workflow; manage daily model operations, resource utilization, and stability monitoring; collaborate with product and engineering teams to drive project delivery.
Seniority
Senior, hands-on IC