大语言模型AI搜索Agent算法工程师 - Seed Model
Core
Design and implement LLM-based search summary Agents to enhance search result understanding, reasoning, and structured summarization capabilities.
Role type
Senior IC LLM Algorithm Engineer (Search Agent)
Builds
End-to-end search systems supporting intent recognition, knowledge retrieval, result generation, and preference alignment for user-facing applications.
Domain
Search technology + Large Language Models (LLM)
Deliverable
production ML models
Required skills
LLM training and optimization, RAG, Agent architecture, search algorithms, instruction tuning, RLHF/DPO, distributed training, model compression, inference acceleration
Preferred skills
Top-tier conference publications (ACL/EMNLP/NeurIPS), open-source AI Agent contributions, multi-modal model expertise, reinforcement learning
Technologies
PyTorch, TensorFlow, GPT, LLaMA, LangChain, AutoGPT, GPT-4V
Responsibilities
Design LLM-based search summary Agents; explore LLM reasoning techniques for complex queries; build end-to-end systems; optimize models via fine-tuning and alignment; research multi-modal fusion and innovative applications.