Senior Staff Machine Learning Engineer, Content Platform

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 Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform.

In this role, you’ll shape the architecture and technical strategy that ensures content is evaluated, governed, and safely delivered at global scale.

This work is foundational to delivering safe, high-quality experiences for both listeners and creators, while enabling new ways to interact with content across Spotify.

• Shape the machine learning strategy for content understanding and platform-level decisioning
• Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content
• Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale
• Design and deploy models across text, audio, image, and video domains
• Build systems that enable controlled, reliable access to content and metadata for downstream applications
• Collaborate with product, policy, trust & safety teams to operationalize content standards across platform