GRAIL is seeking a Staff Machine Learning Infrastructure Engineer for the Research Platform Engineering team. This is a software engineering role, charged with building and supporting systems executing machine learning and other analysis workflows on controlled data. You will empower computational biologists, data scientists, and statisticians in their quest to develop and refine powerful diagnostic products, by enabling efficient and flexible exploratory research and classifier development, and smoothing the productionization of their work.
The ideal candidate will bring a passion for reliable software infrastructure, distributed computing, reproducible research, and general problem-solving. Due to the highly connected nature of this position, the candidate should be a strong communicator with experience working with multidisciplinary teams.
This is a hybrid role based in Menlo Park, CA (moving to Sunnyvale, CA in Fall 2026). Our current hybrid policy requires on-site presence at least 40% of the time, including key in-person collaboration days. At our Menlo Park campus, Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities.