Metaflow: Supercharging Data Scientist Productivity

Discover how Netflix empowers its data scientists to build, deploy, and operate large machine learning workflows autonomously in this 36-minute conference talk from the Toronto Machine Learning Series. Learn about Metaflow, Netflix's open-source ML framework, which provides delightful abstractions for managing project lifecycles end-to-end while leveraging cloud strengths. Explore human-centric design principles that can be easily adopted to enhance data scientist productivity. Gain insights into Netflix's unique culture of freedom and responsibility, and how their infrastructure is designed to support this approach. Understand how Metaflow interplays with existing schedulers, including a new integration with AWS Step Functions. This talk, presented by Ravi Kiran Chirravuri and Jan Florjanczyk from Netflix's Machine Learning Infrastructure team, offers valuable lessons for small to mid-sized companies looking to improve data science productivity without a dedicated MLI team.

Metaflow: Supercharging our data scientist productivity