Senior Manager, Machine Learning Platform Engineer

This ML Platform Engineer will have the unique opportunity to apply cutting-edge data and AI technologies to one of the most meaningful challenges in healthcare: ensuring the quality of medicines that improve and save lives. As a pivotal member of R&D Quality, this role will help transform how quality insights are generated, scaled, and acted upon across Gilead’s drug development and clinical research programs. Through the operationalization of machine learning models, data pipelines, and advanced analytics platforms, the successful candidate will enable more proactive quality oversight, smarter decision-making, and continuous improvement, ultimately supporting Gilead’s mission to deliver life-changing therapies to patients worldwide.

The ML Platform Engineer will partner with the Quality Analytics & Insights team, a small, high-impact group responsible for advancing data science, analytics, and AI capabilities across R&D Quality. This role will build and maintain the ML and data infrastructure that supports Quality Performance and Quality Health models focused on signal detection, risk analytics, early identification of emerging issues, mitigation strategies, and continuous improvement. Working closely with data scientists, the engineer will operationalize models through robust data pipelines, cloud infrastructure, monitoring, automation, and MLOps practices, transforming analytical prototypes into scalable, production-ready solutions. The role will collaborate directly with Quality teams, IT, and global delivery teams to support key Quality System elements and programs, including Audit, Deviation, CAPA, Risk Management, Escalation/Serious Breach, and Quality Analytics/Data Science, while helping define the technology roadmap for next-generation analytics, automation, and AI capabilities across the organization.