SLAC
ML Engineer – Healthcare Foundation Model Developer
HybridFull-time
About the job
Stanford University is seeking a Machine Learning Engineer to support advanced technical research within the Weill Cancer Hub. This role will focus on developing and applying AI and machine learning methods for biomedical and clinical applications, with an emphasis on rigorous evaluation in real-world settings. The goal is to better understand the performance, safety, reliability, transparency, and clinical utility of ML/AI models intended for translational impact and eventual deployment. Reporting to the program’s technical leadership, and working closely with senior faculty and research staff, the individual will build end-to-end data pipelines and software infrastructure for machine...