Agent Algorithm Engineer

Job Description

• Conduct in-depth research on the reasoning and generation capabilities of Large Language Models (LLMs), explore LLM reasoning techniques (such as Chain-of-Thought and multi-step reasoning), and optimize the processes and outcomes of complex creative tasks.
• Build end-to-end Agent systems covering user intent recognition, knowledge retrieval, content generation and style preference alignment, to enhance user experience and personalized output capabilities.
• Optimize the adaptability of models in creative scenarios through technologies such as Instruction Tuning and preference alignment (RLHF / DPO).
• Conduct in-depth research on the reasoning and generation capabilities of Large Language Models (LLMs), explore LLM reasoning techniques (such as Chain-of-Thought and multi-step reasoning), and optimize the processes and outcomes of complex creative tasks.
• Build end-to-end Agent systems covering user intent recognition, knowledge retrieval, content generation and style preference alignment, to enhance user experience and personalized output capabilities.
• Optimize the adaptability of models in creative scenarios through technologies such as Instruction Tuning and preference alignment (RLHF / DPO).

Job Requirements