Spotify is a digital music service that gives you access to millions of songs. Backed by Accel, Kleiner Perkins and Norwest.
About the role
We’re hiring Senior Staff Machine Learning Engineers to build and scale foundational ML systems that power content understanding, safety, policy enforcement, and decisioning across Spotify. Depending on your experience and interests, you may focus on areas ranging from multimodal content understanding and platform-level ML systems to safety, risk detection, policy enforcement, and compliance.
What they're looking for
- You have significant experience designing and building production-grade machine learning systems at scale
- You have deep experience with modern ML frameworks such as PyTorch, TensorFlow, JAX, or similar
- You have experience with—or a strong interest in—multimodal machine learning across areas such as text, audio, image, or video
- You have built systems where machine learning outputs inform or automate real-world decisions
- You understand how to balance automation with quality, safety, reliability, and user experience
- You’re comfortable tackling complex and ambiguous technical problems with significant product and business impact
More about this role
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 understood, 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 continue to grow—driven by advances in AI, new creation tools, and emerging content formats—we’re investing in intelligent systems...
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