TL;DR Since 2017, Spotify has been working to create a better listening experience for our users by creating algorithmically personalized [...]
Published by Christopher Barthle, Engineering Manager
Integrating the Podz ML pipeline into Spotify As of March 8, 2023, Spotify has started serving short previews for music, [...]
Published by Diego Casabuena (ML Engineer, Spotify), Edgar Tanaka (ML Engineer, Spotify), Winstead Zhu (ML Engineer, Spotify), Reza Rokni (PM, Google Dataflow ML), and Danny McCormick (Senior Software Engineer, Google)
Introduction As the field of machine learning (ML) continues to evolve and its impact on society and various aspects of [...]
Published by Divita Vohra, Sr. Product Manager, Keshi Dai, Sr. ML Engineer, David Xia, Sr. ML Engineer, & Praveen Ravichandran, Staff Research Scientist
TL;DR Understanding algorithmic impact is critical to building a platform that serves hundreds of millions of listeners and creators every [...]
Published by Henriette Cramer (Head of Algorithmic Impact, Director of Trust & Safety Research) and Amar Ashar (Senior Researcher, Lead Algorithmic Impact & Equity)
Introducing Basic Pitch, Spotify’s free open source tool for converting audio into MIDI. Basic Pitch uses machine learning to transcribe [...]
Published by Rachel Bittner, Sr. Research Scientist
Beyond term-based Search Until recently, Search at Spotify relied mostly on term matching. For example, if you type the query [...]
Published by Alexandre Tamborrino, Machine Learning Engineer
TL;DR For years, Spotify’s official engineering blog has been giving you a peek behind the curtain at Spotify R&D. Today, [...]
Published by Dave Zolotusky, Principal Engineer
Introduction Building platforms is a hard business. Building platforms for discerning machine learning (ML) practitioners with bespoke needs and a [...]
Published by Maisha Lopa, Sr. Product Manager (ML Platform)
Machine learning is what drives personalization on Spotify. We may have a single platform with 381 million different users, but [...]
Published by Spotify Engineering
In Part I of this two-part series, we talked about the challenges we faced with the models we use to [...]
Published by Annie Edmundson, Engineer
At Spotify, our goal is to connect listeners with creators, and one way we do that is by recommending quality [...]
Published by Annie Edmundson, Engineer
We’ve just open sourced Pedalboard, Spotify’s framework for adding effects to audio in Python. Pedalboard makes it easy to use [...]
Published by Peter Sobot, Staff Machine Learning Engineer - Spotify Audio Intelligence Lab
5:00 am My days begin with an early morning wake-up call from Zev – he comes through at around 5am and [...]
Published by Spotify Engineering
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
