An MRE 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 MRE 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 clear expectations, as well as the freedom to pursue projects they find interesting.
Cresta is an early-stage enterprise AI startup with the mission of enabling everyone to start as an expert on the first day on the job. Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, and backed by Ben Horowitz, our team is composed of Stanford PhDs and top engineers and leaders from Google, Facebook, and other tech companies. We are in production at multiple Fortune 500 companies and are training on millions of dialog conversations.