The team who gets the business through the prototype and proof of concept phases, is not the same as the team who will monetize machine learning. This key concept is a starting point for moving forward in the machine learning maturity model. So, what does "better" mean? The business comes into machine learning expecting the technology to grow their bottom line. A better team creates the processes, relationships, and infrastructure to meet the need. Those are a combination of technical and soft skills.

As a Principal Engineer, you'll be responsible for the architecture of a complex analytics platform that is already changing the way large industrial companies manage their assets. A Principal Engineer understands cutting-edge tools and frameworks, and is able to determine what the best tools are for any given task. You will enable and work with our other developers to use cutting-edge technologies in the fields of distributed systems, data ingestion and mapping, and machine learning, to name a few. We also strongly encourage Principal Engineers to tinker with existing tools, and to stay up to date and test new technologies--all with the aim of ensuring that our existing systems don't stagnate or deteriorate.