Stripe’s mission is to increase the GDP of the internet. To do this, we need to fight fraud at scale and build great software products, which means assembling strong machine learning teams and equipping them with the technologies they need to be effective. Our mission on Machine Learning Platform is to make these teams more impactful by providing reliable and flexible infrastructure to enable Machine Learning at scale.
The Machine Learning Platform team does this by designing and engineering the underlying infrastructure that powers experimentation, training and serving for Stripe’s key machine learning systems. Our flagship products include Railyard and Diorama. Railyard provides an expressive and powerful interface for model training at scale. Diorama enables model serving in real-time with strong reliability and latency guarantees. We work closely with ML engineers, data scientists, and platform infrastructure teams to build the powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company.
It’s not expected that you’ll have deep expertise in every dimension above, but you should be interested in learning any of the areas that are less familiar.