We believe that the next leap forward in applied AI lies in active learning systems and techniques like reinforcement learning. These systems are ‘curious’ – they continuously try new things in the world, making them better at adapting to and operating in a fast-changing, complex world.
Using Active & Transfer Learning, our software transforms business processes into automated feedback loops, creating accelerating advantages for our customers vs. their competition.
Most AI today is passive. It learns by looking at billions of examples of historical data. But in the real world, the future seldom looks like the past. Our active learning agents learn not just from past data, but from simulations of different futures – think Neo from The Matrix learning Kung Fu by fighting Morpheus over and over in a virtual dojo. We use simulations and your real environment to train active learning agents that can safely and quickly learn new tasks to improve your future outcomes.
As a software engineer within our team, you will build the next generation of machine learning software. We have 3 main areas of focus: Core Intelligence-ML Modeling, Telemetry-Impact & Algorithmic Health, and AI interfaces. You will be involved in building out functionality for all 3 areas.