LLM Agent Algorithm Engineer
Job Summary
Job Description
1. Research cutting-edge Large Language Model (LLM) technologies, including but not limited to: large language models and their fine-tuning techniques, Retrieval-Augmented Generation (RAG), prompt engineering, and knowledge-based dialogue systems; 2. Improve the overall performance of the foundational models, covering data acquisition, model evaluation, Supervised Fine-Tuning (SFT), reward modeling, and reinforcement learning; 3. Continuously promote the core technological development of large language models, constantly optimizing understanding, reasoning, and generation capabilities; 4. Collaborate with cross-functional teams to integrate and promote advanced LLM solutions.
Must have:
- Research LLM technologies (fine-tuning, RAG, prompt engineering).
- Improve foundational model performance.
- Optimize understanding, reasoning, and generation capabilities.
- Collaborate with cross-functional teams for integration.
Job Details
1. 研究前沿的大型语言模型（LLM）技术，包括但不限于：大型语言模型及其微调技术、检索增强生成（RAG）、提示工程和基于知识的对话系统等； 2. 提升基础模型的整体性能，涵盖数据获取、模型评估、监督微调（SFT）、奖励建模及强化学习等； 3. 持续推动大型语言模型的核心技术发展，不断优化理解、推理和生成能力； 4. 与跨功能团队合作，将先进的LLM解决方案集成推动。
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