Galileo

No more grueling data debugging. Models are often opaque, providing little visibility into what data they perform poorly on and why. Galileo provides a host of tools for ML teams to inspect and find ML data errors 10x faster. Production data is ever-changing. Help your models adapt. Galileo sifts through your unlabeled data to automatically identify error patterns and data gaps in your model. Track your data and model changes, all in one place. We get it -- ML experimentation is messy. It requires many data- and model-iterations. Track and compare your runs in one place and quickly share reports with your team. At Galileo we are building the first ML data intelligence platform for data scientists working with unstructured data -- over 80% of the world's data today. If you are interested in working at the intersection of Machine Learning and data, alongside industry and academic veterans at a well-funded early stage company going after a big, real and massively underserved problem, we are currently hiring for multiple positions.