Tecton

At Tecton, we are building a new kind of AI infrastructure that is transforming the way companies solve real-world problems with machine learning at scale. Our founding team created Uber's Michelangelo ML Platform, which has become the blueprint for modern ML platforms in large organizations. We are well funded by Andreessen Horowitz and Sequoia, have paying enterprise customers, and have excellent engineering teams in SF and NYC. We have years of experience building and operating business-critical machine learning systems at scale at places like Uber, Google, Facebook, Quora, and AdRoll. We’re growing our engineering team and are looking for top UI, data-viz, backend, and data infrastructure (especially Spark and streaming systems) engineers. Prior experience with machine learning is not required. We are looking for exceptional software engineers who are driven to find simple solutions to complex problems and who are excited to stretch themselves as part of a growing team at the intersection of systems, data, and machine learning.