📄 中文摘要
Stephanie Kirmer 讨论了价值 2000 亿美元的投资泡沫，以及 AI 公司如何重建信任。她还分享了随着大型语言模型（LLMs）的崛起，她日常工作的变化。机器学习工程师的角色正在不断演变，面临新的挑战和机遇，尤其是在信任和透明度方面。AI 技术的快速发展要求工程师不仅具备技术能力，还需具备更强的沟通和协作能力，以便在多方利益相关者之间架起桥梁。重建信任的过程需要企业在技术应用上更加谨慎，确保其产品的可靠性和安全性。
机器学习工程师角色的演变
出处: The Evolving Role of the ML Engineer
发布: 2026年2月13日
📄 English Summary
The Evolving Role of the ML Engineer
Stephanie Kirmer discusses the $200 billion investment bubble and how AI companies can rebuild trust. She shares insights on how her day-to-day work has changed with the rise of large language models (LLMs). The role of machine learning engineers is evolving, facing new challenges and opportunities, particularly in terms of trust and transparency. The rapid advancement of AI technology demands engineers to not only possess technical skills but also enhance their communication and collaboration abilities to bridge gaps between various stakeholders. The process of rebuilding trust requires companies to be more cautious in their technological applications, ensuring the reliability and safety of their products.