Michelangelo is an internal ML-as-a-service platform that democratizes machine learning and makes scaling AI to meet the needs of business as easy as requesting a ride. It enables internal teams to seamlessly build, deploy, and operate machine learning solutions at Uber’s scale. It is designed to cover the end-to-end ML workflow: manage data, train, evaluate, and deploy models, make predictions, and monitor predictions.
Please, contact me if you are interested in my role and responsibilities as a product designer in this project.
Public post for this product: Michelangelo: Uber's ML Platform
Here is a selected collection of Uber videos and blog posts about ways that people are applying ML at Uber.