Staff Machine Learning Engineer - Content Intelligence

Spotify

London, GB

On-site

Who this role is best for

Aimed at senior ML engineers who build foundational systems for content understanding across audio, video, and text in London.

Best fit for

Engineers experienced with ML systems for multimodal content analysis.
— “build and scale foundational ML systems that power content understanding”
Professionals focused on automation and quality at global scale.
— “enabling automation, improving quality, and unlocking new product experiences”
Those who thrive in shaping content lifecycle from ingestion to distribution.
— “powers the full lifecycle of content across music, podcasts, audiobooks”

Things to consider

Role requires handling diverse content types including emerging formats.
— “content across music, podcasts, audiobooks, and emerging formats”
Systems must operate reliably at Spotify's global listener scale.
— “route content reliably at global scale”

How to stand out

Demonstrate prior work on systems that process multiple content modalities.
— “understanding of content across audio, video, text, and images”
Showcase experience with content safety and quality systems.
— “ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality”
Highlight scaling challenges overcome in previous ML infrastructure roles.
— “building intelligent systems that can evaluate, manage, and route content reliably at global scale”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

developed scalable machine learning systems
improved content understanding and quality

Typical background

PhD in Computer Science or related field5+ years of experience in machine learning

Skills & requirements

Required

Machine-learningPythonData-scienceDeep-learningNatural-language-processing

Preferred

SparkTensorFlowPyTorch

Stack & domain

Machine LearningAIContent UnderstandingAudioVideoTextImagesMusicPodcastsAudiobooksEmerging FormatsNew Creation Tools

About the role

Original posting from Spotify via Lever

We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow—driven by advances in AI and new creation tools—we’re building intelligent systems that can evaluate, manage, and route content reliably at global scale.
We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. In this role, you’ll work on systems that generate deep, machine-readable understanding of content across audio, video, text, and images—enabling automation, improving quality, and unlocking new product experiences. This work is central to delivering safe, high-quality, and differentiated experiences for millions of listeners and creators worldwide.

Source: Spotify careers (Lever)