MLE-STAR is an advanced machine learning engineering agent that automates various ML tasks by utilizing web search for effective model retrieval and enhancing code through targeted refinement. It significantly outperforms previous agents, winning medals in 63% of Kaggle competitions, thanks to its innovative ensemble strategies and additional modules for debugging and data management. The framework aims to lower barriers to machine learning adoption and continuously improve as new models emerge.