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Spotify

Machine Learning Engineer - Personalization, Horizon

Spotify

Published 07 May 2026
New York, NY, USA
Permanent

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Role Highlights

Languages used

S3

Key skills

Machine Learning
Data Science
NLP
Generative AI
Prompt Engineering
Product Management
Data Processing
Music
Audio
Research
Testing
LLMs
Cloud
Streaming
Google Analytics
Console

Tools, Libraries and Frameworks

GCP
AWS
Apache Spark

Description

The role involves developing and maintaining machine learning systems to enhance user personalization. The engineer will work on improving recommendation algorithms to provide tailored content experiences. Responsibilities include designing scalable infrastructure to support data-driven features. The position requires collaboration with cross-functional teams to integrate models into production environments. The focus remains on optimizing system performance and ensuring high-quality output for global users.

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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