LondonSwedenPermanentlever2026-06-26
Warum echter KI-Job: The role explicitly focuses on building and scaling machine learning systems for content understanding, which is a core AI task. The description highlights the use of ML to evaluate, manage, and route content at scale.
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…
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New York, NYSwedenlever2026-06-26
Warum echter KI-Job: The role explicitly focuses on developing and deploying Reinforcement Learning methods for Large Language Models to improve Spotify's recommendation algorithms. The description highlights core ML tasks like prototyping, productizing state-of-the-art models, a…
The Rewards team in Personalization (PZN) is defining the next generation of large-scale personalization at Spotify by pioneering novel Reinforcement Learning (RL) methods for Large Language Models (LLMs). We drive massive impact across all recommendations discovery surfaces by moving beyond simple…
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New York, NYSwedenPermanentlever2026-06-26
Warum echter KI-Job: The role explicitly focuses on building and improving machine learning models for personalization, directly impacting core Spotify features. The description highlights work at the intersection of ML, music understanding, and user experience.
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…
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New York, NYSwedenPermanentlever2026-06-26
Warum echter KI-Job: The role explicitly focuses on building and improving machine learning models for personalization, including embedding models and generative AI. The description highlights core ML tasks like candidate generation and ranking model development.
The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of mill…
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New York, NYSwedenPermanentlever2026-06-26
Warum echter KI-Job: The role explicitly focuses on building and managing machine learning systems for personalization, including safety and responsible AI aspects. The team is embedded within an 'AI Foundations Studio' and directly works with ML models and data.
Mission Statement 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 u…
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New York, NYSwedenPermanentlever2026-06-26
Warum echter KI-Job: The role is explicitly focused on building and operating ML models for a core Spotify product (Discovery Mode). The job description details analytical work directly tied to model accuracy, reliability, and impact. It requires close collaboration with ML engin…
The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marqu…
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New York, NYSwedenPermanentlever2026-06-26
Warum echter KI-Job: The role explicitly focuses on building and maintaining detection models for content moderation, which is a core AI/ML application. The team owns the infrastructure behind these models and their deployment.
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…
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New York, NYSwedenPermanentlever2026-06-26
Warum echter KI-Job: The role explicitly focuses on building and improving machine learning models to understand promotion performance, requiring significant ML expertise. The description centers around data-driven solutions and model iteration.
The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We’re looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can ha…
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