Zipline is Airbnb’s data management platform specifically designed for ML use cases. Previously, ML practitioners at Airbnb spent roughly 60% of their time on collecting and writing transformations for machine learning tasks. Zipline reduces this task from months to days – by making the process declarative. It allows data scientists to easily define features in a simple configuration language. The framework then provides access to point-in-time correct features – for both – offline model training and online inference. In this talk we will describe the architecture of our system and the algorithm that makes the problem of efficient point-in-time correct feature generation, tractable.
Nikhil is a Software Engineer on the Machine Learning infrastructure team at Airbnb. He is currently working on Bighead, an end-to-end machine learning platform. Prior to Airbnb, he built self healing scheduler - called Turbine, a real-time data processing engine - called stylus at Facebook. He is also the co-author of Realtime Data Processing at Facebook (SIGMOD-16) and Bighead(DSAA-2019) Nikhil got his Bachelors degree in Computer Science from Indian Institute of Technology, Bombay.