Staff Machine Learning Engineer - Content Intelligence
Spotify · New York City, NY · Engineering
About this role
Spotify is hiring a staff-level Machine Learning Engineer based in New York City, NY. The posting calls out experience with TensorFlow, PyTorch, Machine Learning, Design Systems. Compensation is listed at $227,495–$324,993 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- New York City, NY
- Department
- Engineering
- Posted
- May 5, 2026
More roles at Spotify
Job description
from Spotify careersWe 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.