The Winding Road to Better Machine Learning Infrastructure Through Tensorflow Extended and Kubeflow

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 instantaneously. The experience felt like magic and as a result, music aficionados dug in and organized that content into millions of unique playlists. Early on, our users relied […]


Meet our engineers – Charlie Pastuszenski

What’s your name and where are you from? My name is Charlie and I come from the US and grew up in Massachusetts. Before moving to Stockholm, I lived and worked for Spotify in New York City. What do you do at Spotify? I am a machine learning engineer. I spend my time writing data […]


Spotify Technology Career Steps

This is part two of a three part series on how we created a technical career path for individuals at Spotify and what we learned in the process. This post contains the actual version one of our Technical Career Steps. This is the complete document, so it is a bit long. In the next and […]



sthlm.js #7 @ Spotify

We recently hosted the seventh sthlm.js meetup at our office and Paul Lewis of Google Chrome, Robert Nyman of Mozilla and our very own Mattias Petter Johansson graciously agreed to give talks about topics they each feel passionate about. At Spotify we are all about openness and sharing, so we recorded the talks for you. […]