At Hyperscience, we use modern machine learning to turn documents into machine-readable data. Our customers receive a wide variety of documents, like life insurance applications, paystubs, utility bills, insurance claims, that must be processed quickly & accurately to better serve the people at these organizations, & their customers. Amazingly, this is all done manually today. We're on a mission to change that! Our product is already delivering value to large, blue-chip organizations in financial services & insurance, & we see a massive opportunity to expand to more industries & automate more business processes. We are looking for people who are excited to help us build upon this foundation & vision.
While at first this may not seem like a priority for a machine learning company, we see a huge opportunity in great user experience. Machine learning itself is not a product. While it's a fundamental piece of our technology, it still must live in an ecosystem & be used by people. Human-in-the-loop is a powerful feature that allows us to do things like process anything, provide feedback loops for generating accuracy reporting, & on-demand model re-training. Our product works with people, & for people.
We're looking to grow our Engineering Team with the addition of a Solutions Architect.