TL;DR We just open sourced Klio — our framework for building smarter data pipelines for audio and other media processing. [...]
Published by David Riordan and Lynn Root
Podcasts are exploding in popularity. Since 2015, we’ve added hundreds of thousands of shows, and users are listening more and more [...]
Published by Spotify Engineering
The launch of Shortcuts, which now appears at the top of Spotify Home, is an important step forward in how listeners [...]
Published by Spotify Engineering
Tony joined Spotify New York last summer as VP of Engineering and Head of Machine Learning. Here, he talks us through his busy working days and explains why he’s glad to be part of the band [...]
Published by Spotify Engineering
This article is based on the keynote given by Tony Jebara at TensorFlow World in Santa Clara, California, October 2019. [...]
Published by Spotify Engineering
Lynn is one of our Staff Engineers and has just celebrated her six-year anniversary at Spotify. Starting out in our San Francisco office, she later moved to NYC and now lives in Manhattan with her cat, Glitch [...]
Published by Spotify Engineering
When Spotify launched in 2008 in Sweden, and in 2011 in the United States, people were amazed that they could access almost the world’s entire music catalog [...]
Published by Josh Baer, Samuel Ngahane
By Fiona Condon. Slack’s search makes the work history for collaborative teams discoverable and exploreable. Software engineer Fiona Condon explains [...]
Published by Spotify Engineering
Spotify presented its first Machine Learning Day at Spotify headquarters in Stockholm on Monday 9th July to coincide with the International Conference on Machine Learning [...]
Published by Nicola Bortignon
We are happy to announce the first Spotify Machine Learning Day taking place Monday, July 9th, 2018, 9:30 AM – 5:30 PM at Spotify, Regeringsgatan 19, Stockholm, Sweden [...]
Published by Spotify Engineering
Here at Spotify, we love playlists. Playlists like Today’s Top Hits and RapCaviar have millions of loyal followers, while Discover Weekly [...]
Published by Ching-Wei Chen
What’s your name and where are you from? My name is Charlie and I come from the US and grew [...]
Published by Spotify Engineering
Five years ago, music personalization at Spotify was a tiny team. The team read papers, developed models, wrote data pipelines [...]
Published by Spotify Engineering
Introduction When you log into Spotify, browse through your Discover Weekly playlist, and play a track, you’re interacting with some of our [...]
Published by Nic Cope
WHAT IS DISCOVER WEEKLY? Every Monday Spotify delivers 75 million unique mixtapes to music lovers all over the world, we call [...]
Published by Sofie Lindblom
At Spotify we have have over 60 million active users who have access to a vast music catalog of over 30 million [...]
Published by Kinshuk Mishra and Matt Brown
Spotify has built several real-time pipelines using Apache Storm for use cases like ad targeting, music recommendation, and data visualization. Each of these [...]
Published by Kinshuk Mishra
At Spotify we take user feedback seriously. We noticed some users complaining about our shuffling algorithm playing a few songs [...]
Published by Lukáš Poláček
At the heart of Spotify lives a massive and growing data-set. Most data is user-centric and allows us to provide [...]
Published by Jason Palmer
