Staff / Principal Machine Learning Engineer

Our intelligent runtime must seamlessly connect to foundational models - whether via APIs or running locally - and autonomously evolve an application's logic. For this to be possible at scale, not only the runtime has to be reliable and flexible, but the models it uses need to be state-of-the-art quality, exceptionally fast, and cost-effective. We are seeking Staff and Principal level Machine Learning Engineers to solve these critical challenges. You will be responsible for researching, building, optimizing, and deploying the production ML systems that power our platform. Your work will focus on the difficult research and engineering problems of building the engine for the next generation of AI-driven software.