排序模型算法实习生（J104734）
Core
Designing and optimizing end-to-end generative ranking architectures for information feed commercial strategies.
Role type
Algorithm Intern (Generative Ranking & Agent Systems)
Builds
End-to-end generative ranking models and self-evolving algorithmic systems
Domain
Internet / Recommendation Systems / Generative AI
Deliverable
production ML models
Required skills
Machine learning, mathematical statistics, Transformer architectures, GRPO, multi-objective modeling, reinforcement learning, sequence modeling, multi-modal representation
Preferred skills
Agent systems, Auto-research, LLMs, system efficiency optimization
Responsibilities
Designing overall architecture for ranking and mixed-ranking models, conducting technical research and key algorithm breakthroughs, exploring algorithm self-iteration and system self-evolution using latest agent and auto-research methods
Seniority
Intern
