Software has been "eating the world" for the past decade. Recently, a new phenomenon has started to emerge: machine learning is eating software. This calls for new tools in the ML development stack, particularly for data observability, to massively improve efficiencies, reduce costs and mitigate data biases across healthcare, financial services, insurance etc. At Galileo, we are building a next generation ML data observability stack to address this problem. Our team comprises product and engineering leaders from Uber Michelangelo, Google AI, Stanford AI Lab and Carnegie Mellon. We are well funded by AI execs from Apple, leading academics from Stanford, Anthony Goldbloom (Kaggle CEO) among others. If you're interested in working at the intersection of Machine Learning and data, alongside industry and academic veterans at a well-funded early stage company, we'd love to chat! We're growing our founding engineering team at Galileo! Drop us a note: firstname.lastname@example.orgSomething looks off?