At Danti, we are building a search engine to enable users across the world to access all of the information being generated across our physical Earth. Sensing technologies like satellites, drones, 3D scanners etc. and various analytics continue to build information across the Earth, and non-expert users are to this day unable to tap into the utility of these products due to being forced to use highly complex software. We are driven and aim to change that. The industry has finally advanced to where technologies are mature enough for us to bring this data to a much wider market in a simple, easy to understand way. Join us in enabling the future of how businesses, consumers and governments answer questions about what is happening across the physical world!
Our Mission
To enable semantic context-based relevant search of earth data sets for the benefit of expert and non-expert users. We are focused on developing cutting edge consumer product design and deep scientific core capabilities to create a product so that you can have Earth data in your pocket.
Role Summary
As a NLP Machine Learning engineer, you will be responsible for developing NLP microservices that will enable the core offerings of semantic context-based search of Earth data. You will work collaboratively with the CTO, Head of ML, Head of Engineering, & Head of Product to deliver innovative, operational solutions that solve the fundamental need of translating a naturally phrased query into a machine query that can return context-bound and semantically relevant Earth data results. Your role in managing the lifecycle of our NLP capabilities will be a critical aspect of ensuring the success of the business.