Staff Machine Learning Engineer - Content Intelligence

Spotify

New York, US

On-site

Who this role is best for

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

Best fit for

Senior ML engineers with experience in content understanding systems.
— “build and scale foundational ML systems that power content understanding across Spotify”
Engineers comfortable working with diverse content formats like audio, video, and text.
— “systems that generate deep, machine-readable understanding of content across audio, video, text, and images”
Candidates who thrive in roles central to delivering safe, high-quality experiences.
— “This work is central to delivering safe, high-quality, and differentiated experiences”

Things to consider

Role involves building systems for global scale content management.
— “building intelligent systems that can evaluate, manage, and route content reliably at global scale”
Focus on automation and quality improvement for content.
— “enabling automation, improving quality, and unlocking new product experiences”

How to stand out

Highlight experience with content lifecycle management in your resume.
— “powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats”
Demonstrate past work on machine-readable content understanding systems.
— “systems that generate deep, machine-readable understanding of content”
Showcase projects that improved content quality or safety.
— “delivering safe, high-quality, and differentiated experiences for millions of listeners”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · CompanyLevel · Senior

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

What success looks like

improved content understanding
enhanced user experience

Typical background

machine learningAI

Skills & requirements

Required

Machine LearningContent IntelligenceAI Systems

Preferred

Natural Language ProcessingAudio Processing

Stack & domain

MLAIContent IntelligenceCollaborationProblem-solvingMusicPodcastsAudiobooks

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)