Algorithm Engineers -- H2O.ai - AI for Business

H2O.ai builds an open source parallel distributed in-memory machine learning platform which allows customers to quickly build high-performance, sophisticated ML models on terabytes of data. The server is implemented in Java with the expertise of our technical founder, who wrote the HotSpot server JIT for JavaSoft. The ML algorithms are developed in consultation with our three Stanford advisors, Trevor Hastie, Rob Tibshirani and Stephen Boyd. The platform is accessible via R, Python, Scala, Java, a REST API and a notebook-style web interface. Our paying customer list includes many of the largest insurance companies, banks and healthcare companies, many of the big name unicorns in tech, startups, etc..