Introduction Building platforms is a hard business. Building platforms for discerning machine learning (ML) practitioners with bespoke needs and a [...]
What does it take to go from an idea for a new playlist, to shipping that playlist to Spotify users [...]
Machine learning is what drives personalization on Spotify. We may have a single platform with 381 million different users, but [...]
In Part I of this two-part series, we talked about the challenges we faced with the models we use to [...]
At Spotify, our goal is to connect listeners with creators, and one way we do that is by recommending quality [...]
Team purpose and pride — my team hit those high marks, but it was a long journey to get there [...]
What if, for some users, the very best Spotify is a little less Spotify? Spotify Lite started as an experiment [...]
So you’ve read Part I of our two-part series about the new Experimentation Platform we’ve built at Spotify, and now [...]
Like many of those in tech, we invest heavily in our cloud and data infrastructure. While seemingly routine, the ability [...]
The launch of Shortcuts, which now appears at the top of Spotify Home, is an important step forward in how listeners [...]
At Spotify, we believe strongly in data-informed decision making. Whether we’re considering a big shift in our product strategy or [...]
This article is based on the keynote given by Tony Jebara at TensorFlow World in Santa Clara, California, October 2019. [...]
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 [...]
How do you cut iOS app build times by 50%? Patrick Balestra, an engineer at Spotify, explains how his team [...]
Introduction Large-scale data processing is a critical component of Spotify’s business model. It drives music recommendations, artist payouts based on [...]
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 [...]
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 [...]
In this part we’ll take a closer look at Scio, including basic concepts, its unique features, and concrete use cases here at Spotify [...]
Changing an engineering culture is one of the biggest challenges for any organization. It requires challenging an existing way of working, and introducing compelling improvements [...]
This is the first part of a 2 part blog series. In this series we will talk about Scio, a Scala API for Apache Beam and Google Cloud Dataflow, and [...]
What’s your name and where are you from? My name is Charlie and I come from the US and grew [...]
Every day, Spotify users are generating more than 100 billion events. Every event is being generated as a response to [...]
Five years ago, music personalization at Spotify was a tiny team. The team read papers, developed models, wrote data pipelines [...]
This is part three of a three-part series on how we created a career path framework for the individual contributors [...]
