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Spotify

Machine Learning Engineer, Personalization

Spotify

Published 16 Apr 2026
New York, NY, USA
149K - 213K USD Annual
Permanent

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Role Highlights

Languages used

S3

Key skills

Machine Learning
Data Science
UX
Music
Optimization
Backend
Infrastructure
Audio
Streaming
AI
Google Analytics
Console

Tools, Libraries and Frameworks

Description

The individual in this role will focus on developing and refining personalization systems. The work involves designing and implementing machine learning models to enhance user experiences. The engineer will collaborate with cross-functional teams to integrate these models into existing platforms. Responsibilities include optimizing algorithms to improve content recommendations and system performance. The role requires maintaining high standards for code quality and system scalability.

Required Qualifications and Skills

The role requires expertise in machine learning. No specific degree or professional qualifications are mentioned in the provided text.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Spotify

Size

14835

Founded

HQ

Stockholm, SE

Public/Private

Public Company

Description

Our mission is to unlock the potential of human creativityby 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. Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience. Today, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers across 178 markets. We are the largest driver of revenue to the music business today.

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