Missed the registration?
Come meet us at Trinity Bar, by World Trade Center, at 8:30pm for the after-party!
Event
We have two phenomenal talks to be followed by a new "office-hour" style conversation: just grab a chair at the Spotify tables and ask them anything about their work!
Talk 1: Spotify's Frictionless ML Platform
How can one build an ML platform for hundreds of users of diverse backgrounds and dozens of use cases while also delivering a frictionless developer experience?
This talk shares what Spotify's ML platform team has learned and solved over the past year particularly on the problem of enabling all ML practitioners to be able to code at the click of a button.
Talk 2: Near-Realtime ML Features
Learn about Spotify's new system for using SQL to generate features in near-real-time. Users provide a just SQL query, and our fully managed system applies the query to streaming data, and writes the resulting features to low-latency online storage. We'll discuss how the system works, and how this makes it easy for teams at Spotify to incorporate near-real-time features into their model.
About our speakers
Ryan Culbertson is a senior engineer on Spotify's ML platform team. He is currently working on Spotify's system for generating near-real-time features. Before that he worked on Spotify's feature management system, stream processing infrastructure, and backend deployment infrastructure.
David Xia is a senior engineer on Spotify's ML platform team. Over the past year he helped build and operate a centralized Ray platform that enables Spotify ML practitioners to easily start prototyping their ideas and scaling their workloads. Before that he worked on Spotify's core infrastructure for backend services, specifically on deployment tooling.
Bar!
We'll hit up the local bar right after for an after-party.
