广告算法工程师（模型基础优化方向）-Data
Core
Design and implement end-to-end recommendation architectures and ultra-large-scale recommendation models (LRM) for ad scenarios, replacing traditional multi-stage systems.
Role type
Senior IC machine-learning engineer (ad recommendation, LRM)
Builds
End-to-end recommendation models, ultra-large-scale LRM for ad scenarios
Domain
Advertising, Recommendation Systems, Large Language Models (LLM), Multi-modal AI
Deliverable
production ML models
Required skills
End-to-end recommendation architecture design, Ultra-large-scale model training optimization (Scaling Up), CTR/CVR modeling, LLM integration, Generative recommendation, Reinforcement learning, System optimization for training throughput and inference latency
Preferred skills
Publications in top-tier conferences (KDD, SIGIR, RecSys, ACL, NeurIPS), Experience with generative recommendation paradigms
Technologies
LLM, Multi-modal models, Reinforcement Learning, End-to-end recommendation frameworks