高级/资深算法工程师（大模型方向）-国际化内容安全平台
Core
Develop and iterate large-scale multimodal foundation models (LLM/VLM) for international video content safety, focusing on risk detection, compliance understanding, and automated auditing.
Role type
Senior IC machine-learning engineer (multimodal large models)
Builds
Production multimodal models for video content safety
Domain
AI / Content Safety / Video Understanding
Deliverable
production ML models
Required skills
Large-scale model training, Transformer architecture, RLHF, SFT, Multimodal learning, Computer vision, PyTorch, Distributed training optimization
Preferred skills
Publications in top-tier conferences (NeurIPS, ICML, CVPR, etc.)
Responsibilities
Pre-train and post-train large-scale multimodal foundation models; Lead SFT and RLHF research; Design multimodal annotation and evaluation systems; Optimize distributed training and inference efficiency; Deploy models into real-world content safety scenarios.
Seniority
Senior, hands-on IC
