Machine Learning Engineer for Personalization at Spotify

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Discover Weekly to AI DJ, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations...

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Discover Weekly to AI DJ, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations...

The Personalization team makes decisions about what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great...

The Personalization team makes decisions about what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great...

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations...

The Personalization team at Spotify makes decisions about what to play next easier and more enjoyable for every listener. We built great recommendations to keep millions of users listening.About the TeamWe are a hardworking team of engineers passionate about connecting new and emerging creators with users via recommendation algorithms.You will collaborate...

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations...

Spotify's Personalization team creates seamless music discovery experiences for millions of users worldwide. We're seeking an experienced Data Engineer to join our team, focusing on building scalable data pipelines that power personalized content across music, podcasts, and audiobooks.This is a unique opportunity to shape the way Spotify recommendations...

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the...

Unlock new levels of personalization for Spotify users by joining our Data Engineering team. As a key contributor, you will build and maintain complex data pipelines that fuel our recommendation systems. With a focus on scalability, reliability, and quality, you will collaborate with cross-functional teams to drive business impact and innovation.This role...

At Spotify, we believe that music has the power to break down barriers and bring people together. Our Personalization team is at the forefront of this effort, working tirelessly to create a seamless and enjoyable listening experience for every user.We are looking for a skilled Data Engineer with backend experience to join our team. As a member of this team,...

At Spotify, our mission is to connect artists and fans in personalized and relevant ways. We're looking for a skilled Machine Learning Engineer II to join our Personalization team.About the RoleAs an integral part of our squad, you will collaborate with engineers, research scientists, and data scientists in prototyping and productizing state-of-the-art...

Join us in making deciding what to play next on Spotify easier and more enjoyable for every listener. The Personalization team makes understanding the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening.We seek a skilled Data Engineer with backend experience to help...

Serve as a key contributor to Spotify's Personalization team, responsible for crafting innovative data solutions that elevate user experiences. As a Senior Backend Data Engineer, you will lead the development of large-scale data pipelines using cutting-edge technologies such as Scio, BigQuery, Google Cloud Platform, and Apache Beam.Join us in shaping the...

About the RoleWe're looking for a talented Fullstack Engineer to support the development, scaling, and improvement of the Digital Asset Management (DAM) platform at Spotify.As an Engineer within the Design Platform team, you will collaborate with multi-functional teams to build and maintain scalable backend systems, APIs, and integrations that empower teams...

Company OverviewThe Personalization team is responsible for making deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features.We are looking for a Senior Machine Learning Engineer to join our product area of hardworking engineers that are passionate about...

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations...

Spotify is looking for a Backend Engineer to join Impala - our GenAI team in Financial Engineering. We are focused on building the AI platform for Finance. Using genAI and machine learning, we aim to automate and enhance stakeholders' working methods. Impala is a highly collaborative team of engineers and data scientists from multiple disciplines who are...

Social network you want to login/join with:Staff Machine Learning Engineer, Content and Catalog Management, StockholmClient:SpotifyLocation:Stockholm, SwedenJob Category:OtherEU work permit required:YesJob Reference:e69d15a2405aJob Views:3Posted:24.03.2025Expiry Date:08.05.2025Job Description:Delivering the best Spotify experience possible. To as many people...

Machine Learning Model Optimization: In this role, you'll work with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient and scalable. You'll collaborate with researchers and engineers to bring machine learning models from research to production.\Your Responsibilities: Optimize machine...