Helping people become experts on day one
An SRE for Machine Learning Systems at Cresta is responsible for building and maintaining our serving infrastructure, optimizing and automating work, developing tools and tests to ensure safe deployment of code and data, and in supporting and advocating for code quality, documentation, maintainability, and other engineering best practices. The SRE for ML Systems focuses on maintaining trained machine learning models, training pipelines and online systems for data prediction.
Machine Learning Systems at Cresta is particularly critical since they power some of the most important parts of our infrastructure and support our goals of providing the best personalized experience to every company that uses our product.
You will join a collaborative but highly autonomous working environment in which each member has a defined role, with the ability to work on projects and features that they identify as interesting.
Cresta is an enterprise AI startup with the mission of ending repetitive work. We enable large human workforces to operate like autonomous, intelligent fleets - when one human makes a mistake, everyone learns from it, and when one human achieves success, everyone improves.
Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, our team is composed of Stanford PhDs and top engineers from large tech companies. Even as an early-stage startup, multiple Fortune 500 companies have used Cresta to enhance their workforce productivity with AI.