New York, NYSwedenlever2026-08-25
Warum echter KI-Job: The role explicitly focuses on building and improving machine learning models for personalization (recommendations), agentic products, and conversational AI. The description highlights the use of data to drive improvements and mentions a 'single layer that un…
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…
Details Quelle / Bewerbung öffnen
LondonSwedenPermanentlever2026-08-25
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…
Details Quelle / Bewerbung öffnen
New York, NYSwedenlever2026-08-25
Warum echter KI-Job: The role explicitly focuses on building and evolving machine learning models for personalized experiences, including recommendation systems and large language models. The description highlights a strong emphasis on taking models from research to production at…
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…
Details Quelle / Bewerbung öffnen
New York, NYSwedenPermanentlever2026-07-28
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…
Details Quelle / Bewerbung öffnen
New York, NYSwedenPermanentlever2026-07-19
Warum echter KI-Job: The role explicitly focuses on designing and building generative AI products for music, indicating a core focus on machine learning and its application to the music industry. The description highlights invention of new experiences using AI.
We are seeking a Machine Learning Engineer to join our Artist-First AI Music lab. Our team designs and builds state-of-the-art generative products for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and…
Details Quelle / Bewerbung öffnen
New York, NYSwedenPermanentlever2026-07-07
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…
Details Quelle / Bewerbung öffnen
New York, NYSwedenlever2026-07-02
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…
Details Quelle / Bewerbung öffnen
New York, NYSwedenPermanentlever2026-08-25
Warum echter KI-Job: The role is explicitly focused on building, operating and evaluating machine learning models powering a core Spotify product (Discovery Mode). The job description details analytical work directly tied to model accuracy, reliability, and impact.
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…
Details Quelle / Bewerbung öffnen
LondonSwedenPermanentlever2026-08-25
Warum echter KI-Job: The role explicitly requires a Data Scientist to perform analytics, strongly indicating core AI/ML work. The focus on audiobooks suggests application of data science techniques for content understanding and user behavior.
What You'll Do Who You Are Where You'll Be
Details Quelle / Bewerbung öffnen
New York, NYSwedenPermanentlever2026-08-19
Warum echter KI-Job: The role explicitly focuses on building and optimizing ad experiences using machine learning, data analysis, and experimentation. The core responsibilities revolve around ML model development and deployment.
Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale b…
Details Quelle / Bewerbung öffnen