Spotify is a digital music service that gives you access to millions of songs. Backed by Accel, Kleiner Perkins and Norwest.
About the role
Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience. Design, build, and ship personalized recommendations that serve millions of Spotify listeners globally.
What they're looking for
- You have 8+ years of experience building and deploying machine learning systems in production environments
- You have deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms
- You have strong proficiency in Python and hands-on experience building machine learning systems with PyTorch
- You are experienced with large language model training, fine-tuning, evaluation, and optimization techniques including SFT, distillation, and LoRA
- You have worked with large-scale inference systems and understand the challenges of latency, reliability, and cost optimization
- You care deeply about creating high-quality user experiences through thoughtful application of machine learning
More about this role
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.
Surfaces Moments is a ML team within the Personalization Mission focused on creating moment-based experiences across Spotify surfaces. The team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it. By combining cutting-edge machine learning, recommendation systems, and product thinking, the team delivers highly relevant, personalized experiences to millions of listeners around the world.
As a Staff Machine Learning Engineer, you will help shape the future of personalized discovery and engagement at Spotify. You'll work at the intersection of recommendation systems, large language models, and production-scale machine learning infrastructure to build...
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