As Instacart has grown from a single data scientist building linear models, to multiple teams building and maintaining dozens of bespoke models, to a more mature organization collaborating across multiple fields, we’ve learned a few things the hard way. We’re open sourcing our solutions as Lore.
Our goal is to make machine learning approachable for Engineers and maintainable for Data Scientists. There are a lot of great libraries like numpy, pandas, scikit, tensorflow, xgboost, etc. that work together in our daily workflow. Lore is our codification of best practices that welds the valuable bits seamlessly into production models. We're open sourcing so we can learn from the community as well.
Montana works as a Machine Learning Engineer with a diverse team at Instacart to drive growth, reduce costs, and ensure they can reliably deliver the core product: your groceries, in an hour. He has also been the Chief Scientist at RescueTime and founder of two other startups that used machine learning to differentiate their apps.
