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Spotify

Staff Machine Learning Engineer - Content Intelligence

Spotify

Published 07 May 2026
Stockholm, UK
Permanent

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Role Highlights

Languages used

S3

Key skills

Machine Learning
Integrations
UX
Data Quality
Music
AI
Audio
Automation
LLMs
Reliability
DataSets
Multimodal
Google Analytics
Console

Tools, Libraries and Frameworks

PyTorch
Tensorflow

Description

The individual in this role will focus on content intelligence initiatives. They will contribute to the development and optimization of machine learning systems. The position involves collaborating with cross-functional teams to enhance content delivery and discovery. The engineer will work on scaling infrastructure to support complex data processing needs. They will also be responsible for maintaining high standards of system performance and reliability.

Required Qualifications and Skills

The role requires professional experience in engineering. Candidates must possess expertise in machine learning.

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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