“The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. They seek to understand the world of music and podcasts better than anyone else so that they can make great recommendations to every individual person and keep the world listening. Everyday, hundreds of millions of people all over the world use the products they build which include destinations like “Home” and “Search” as well as original playlists such as “Discover Weekly” and “Daily Mix.” They’re a team of technologists, product insight experts, designers, and product managers in Boston, New York, Stockholm, and London.”
What you’ll learn and do
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- Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
- Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
- Prototype new approaches and production-ize solutions at scale for their hundreds of millions of active users
- Help drive optimization, testing, and tooling to improve quality
- Be part of an active group of machine learning practitioners in Boston (and across Spotify) collaborating with one another
Who you are
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- You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems.
- You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus.
- You preferably have experience with data pipeline tools like Apache Beam or even our open source API for it, Scio and cloud platforms like GCP or AWS.
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation
- You love your customers even more than your code
They are proud to foster a workplace free from discrimination. They strongly believe that diversity of experience, perspectives, and background will lead to a better environment for their employees and a better product for their users and their creators. This is something they value deeply and they encourage everyone to come be a part of changing the way the world listens to music.
Psst! If this job is your perfect match and you want some inside tips before you apply, read this blog post!
