Spotify14d ago

Machine Learning Engineer, Personalization, Samba

LondonRemotePermanentmid

Data ScienceMachine Learning EngineerDataMachine LearningData & AI

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Quick Summary

Overview

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.

Technical Tools

Data ScienceMachine Learning EngineerDataMachine LearningData & AI

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 to each and every one of them.

Samba sits at the heart of Spotify’s personalization engine, powering experiences like autoplay, radio, and personalized mixes. We work on complex sequencing and optimization problems—balancing what users love with how Spotify supports creators and the business.

Our team blends machine learning, backend engineering, and data expertise, and collaborates across North America and Europe to deliver impactful, real-time personalization at scale.

Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces

Develop multi-objective optimization strategies that balance user satisfaction with business outcomes

Collaborate closely with cross-functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions

Work across ML, backend, and data layers to bring models into production

Contribute to scalable infrastructure supporting high-volume user interactions

Run experiments and use insights to continuously improve performance

Help shape technical direction and raise the bar for engineering excellence within the team

You have 5+ years of experience in machine learning, data, or backend engineering

You are experienced with production-grade systems and scalable architectures

You have worked on recommendation systems, ranking, or optimization problems

You bring a T-shaped skillset across ML, data, and backend domains

You are comfortable navigating ambiguity and solving complex problems

You care about user experience and measurable impact

You enjoy collaborating across disciplines and geographies

This role is based in London or Stockholm

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Location & Eligibility

Where is the job

Worldwide

Fully remote, anywhere in the world

Who can apply

Same as job location

Listed under

Worldwide

Listing Details

Posted: April 15, 2026
First seen: April 15, 2026
Last seen: April 29, 2026

Posting Health

Days active: 14
Repost count: 0
Trust Level: 44%
Scored at: April 29, 2026

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Spotify

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Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.

Employees

3k+

Founded

2006

Domain

Jobs

External application · ~5 min on Spotify's site

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