微信安全-内容理解算法高级工程师-商业化审核
Core
Develop and optimize multimodal content understanding and violation detection algorithms for commercial ad delivery scenarios across video feeds, live streaming, and official accounts.
Role type
Senior IC machine-learning engineer (content safety)
Builds
Multimodal content moderation models and rule engines for commercial advertising
Domain
Social media + content safety
Deliverable
production ML models
Required skills
multimodal content analysis, LLM/VLM application, model training and deployment, data labeling system design, badcase analysis, human-machine collaboration architecture
Preferred skills
LoRA/P-Tuning fine-tuning, Prompt Engineering, RAG, Agent implementation, commercial ad scenario experience
Technologies
PyTorch, TensorFlow, LLM, VLM
Responsibilities
Research and iterate content audit models for commercial ad scenarios; design and build scenario-based audit strategy frameworks; apply LLM/VLM technologies for semantic understanding and violation detection; construct data annotation systems and evaluation loops; design human-machine collaboration architectures; collaborate with strategy, engineering, product, and legal teams.
Seniority
Senior, hands-on IC
