Responsible for the fine-tuning of large language models, including supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and domain-specific model adaptation, to improve model performance and adaptability in vertical scenarios
Job Summary
Responsible for the fine-tuning of large language models, including supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and domain-specific model adaptation, to improve model performance and adaptability in vertical scenarios.
Be responsible for the research and development of the core Agent runtime system, including the design and implementation of execution engine, state machine, memory module and tool call framework, to ensure the efficient, stable and scalable operation of the Agent system.
GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits.
Matching Summary
Responsible for the fine-tuning of large language models, including supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and domain-specific model adaptation, to improve model performance and adaptability in vertical scenarios.
Skills & Requirements
Must-have
fine-tuning large language models
Prompt Engineering optimization
Function Calling optimization
advanced model reasoning technologies
LLM evaluation system building
Agent runtime system development
multi-Agent collaboration mechanisms
Nice-to-have
strong learning ability
innovative thinking
outcome-oriented
documentation and experiment reproducibility mindset