
Spotify
Spotify builds a global audio streaming platform for listeners and creators, offering on-demand music and podcasts across mobile, desktop, and connected devices. The business runs a freemium model: an ad-supported free tier and a paid Premium subscription, plus creator tools like Spotify for Artists and podcast publishing. Founded in 2006 and headquartered in Stockholm, it is a publicly traded company on the NYSE (SPOT) serving consumers and rights holders worldwide.
Open Positions at Spotify
23 open positions
Build and ship production machine learning systems that improve subscriber experiences and metrics at Spotify’s global scale. You’ll lead end-to-end ML initiatives, develop models with PyTorch, and collaborate across product, data science, design, and engineering.
Build and operate large-scale backend services and data pipelines that ingest, validate, and process music content from partners. You’ll own key parts of the content platform, evolve APIs and schemas, and improve reliability and operational tooling.
Build and improve machine learning models, ranking systems, and retrieval infrastructure that make Spotify Search more relevant and personalized. This role combines production ML engineering with backend development and experimentation to improve discovery across Spotify content.
Join Spotify’s Enterprise Security Platform team to strengthen security across identity, endpoints, enterprise applications, cloud services, and AI-enabled environments. You’ll build scalable security tools and automation while balancing strong protection with a positive employee experience.
Build and operate scalable backend services powering Spotify’s authorization, permissions, and team-management capabilities. You’ll own critical distributed systems and shape reusable platform architecture while contributing across the stack when useful.
Build and operate Spotify’s backend data platform, including an Apache Iceberg lakehouse, BigQuery tooling, and migration infrastructure at scale. The role combines backend development, cloud operations, production support, and hands-on collaboration with data teams.
Build and operate the backend services, APIs, and data pipelines powering Spotify’s data catalog, lineage, and publishing platform. This role combines production Java backend engineering with batch and streaming data work in a flexible Stockholm or London-based environment.
Join Spotify’s Detection and Response team as a Security Engineer focused on building detections, investigating threats, and improving incident response across a global-scale environment. You’ll also create AI-assisted workflows that make security investigations and response more effective while preserving human oversight.
Senior Backend Data Engineer responsible for building scalable backend and data systems that power Spotify’s content intelligence capabilities. The role combines distributed systems, large-scale content processing, and AI/LLM-enabled infrastructure across audio, video, text, and images.
Lead the development of Spotify’s personalized Home and podcast recommendation systems, serving millions of listeners globally. This staff-level role combines recommendation modeling, large language model optimization, and production-scale ML infrastructure.
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