医疗大模型安全策略产品经理-小荷健康
Core
Define safety boundaries, evaluation standards, and methodologies for medical large language models (LLMs) to ensure compliance, fairness, and risk mitigation.
Role type
Product Manager, LLM Safety & Evaluation
Builds
Quantifiable safety evaluation systems, data pipelines for safety testing, and actionable optimization strategies for model alignment.
Domain
Healthcare + Large Language Model Safety
Deliverable
production ML models
Required skills
LLM safety strategy, model evaluation design, rubric creation, adversarial testing, data synthesis, risk analysis, cross-functional collaboration, logical abstraction
Preferred skills
SFT, RLHF, AI ethics, medical domain knowledge
Technologies
SFT, RLHF, adversarial testing frameworks
Responsibilities
Define safety capability boundaries and evaluation standards for medical LLMs; Design and implement evaluation methodologies (rules, rubrics, adversarial); Build and maintain safety evaluation datasets using human and synthetic data; Analyze evaluation results to identify risks and drive model optimization; Collaborate with algorithm teams to translate safety findings into training strategies; Research and optimize safety methodologies based on industry practices.