生成式排序模型算法工程师（J106392）
Core
Develop generative ranking models for recommendation and advertising scenarios, applying Transformer and sequential modeling to CTR/CVR/GMV estimation.
Role type
Generative ranking model algorithm engineer
Builds
Recommendation and advertising models
Domain
Internet / Recommendation Systems / Generative AI
Deliverable
production ML models
Required skills
Transformer architectures, DeepFM, DIN, Generative models (GPT/LLM), Python, PyTorch or TensorFlow, Machine learning fundamentals, Data structures
Preferred skills
Top-tier conference publications, Algorithmic competitions, Large-scale distributed training, Long-sequence modeling, Semantic ID research
Technologies
Transformer, DeepFM, DIN, GPT, LLM, PyTorch, TensorFlow
