Currently tracking 37 active AI roles, with 77 new openings in the last 4 weeks. Primary focus: Ship · Engineering. Salary range $110k–$402k (avg $223k).
Spotify has 45 active AI-related job listings, with a significant focus on roles related to agents, comprising 42% of the openings, and application development, at 38%. The majority of these positions are within Engineering. The company is actively hiring for roles involving recommender systems, agent orchestration, and model serving. Over the last 30 days, Spotify has added 24 new AI roles, representing a 41% increase compared to the previous 30-day period.
Spotify currently has 41 active AI-related roles in our index. The most common open titles are: Machine Learning Engineer (2), Machine Learning Engineer, Personalization, Samba (2), Research Scientist - Music (2), Senior Machine Learning Engineer - Policy & Safety (2), Senior Research Scientist - Music (2). Most positions are in Engineering and Research.
Spotify's active AI hiring is concentrated in: agents (39%), application (34%), post-training (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Spotify is hiring AI talent in: United States (24 roles), Sweden (15 roles), United Kingdom (14 roles), Canada (1 role).
Job postings at Spotify most frequently reference: recommender systems, model serving, agent orchestration, multimodal, llm observability.
In the past 30 days, Spotify has posted 7 new AI-related roles. That is a -78% change versus the prior 30 days (32 → 7).
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Engineer, Personalization, Magenta Senior Machine Learning Engineer focused on building production-grade machine learning systems for conversational and agentic AI experiences, including user intent interpretation, context management, multi-turn interactions, and tool orchestration. The role involves creating evaluation frameworks and balancing experimentation with production rigor. | AgentEval Gate | 8 |
| Machine Learning Engineering Manager - Personalization Machine Learning Engineering Manager for the Personalization team, focusing on building and scaling ML systems for recommendations and safety across Spotify's core surfaces and generative AI experiences. The role involves managing teams that develop synthetic data, fairness, and responsible AI approaches. |
| 8 |
| Senior Staff Machine Learning Engineer Senior Staff Machine Learning Engineer at Spotify focusing on recommender systems modeling at the intersection of generative recommenders and foundational understanding of personalization across music and talk content formats. The role involves defining and executing ML technical strategy, building next-generation content and user representations, and supporting technical architecture. Responsibilities include hands-on ML development, prototyping, productionizing solutions, and providing technical leadership. | AgentPost-train | 8 |
| Senior Machine Learning Engineer - Enrichment & Content Intelligence Senior Machine Learning Engineer to evolve ML systems for Recording Groups, Music Video Resolution, SongDNA, and Music Knowledge Graph. Focus on multimodal ML, entity resolution, and production-scale engineering across audio, video, and metadata. | Data | 7 |
| Senior Machine Learning Engineer - Personalization Senior Machine Learning Engineer at Spotify focused on personalization, building recommendation systems and generative models for music surfaces used by hundreds of millions of users. | ShipAgent | 7 |
| Staff Machine Learning Engineer - Policy & Safety Staff Machine Learning Engineer on the Policy & Safety team at Spotify, focusing on building systems for content moderation, policy enforcement, compliance, and safety-by-default. The role involves working with detection models, collaborative and agentic features, and ensuring safety is integrated into new product experiences. | AgentServe | 7 |
| Staff Machine Learning Engineer - Content Intelligence Staff Machine Learning Engineer to build and scale foundational ML systems for content understanding (audio, video, text, images) at Spotify, enabling automation, improving quality, and unlocking new product experiences for millions of listeners and creators. | Data | 7 |
| Senior Machine Learning Engineer - Policy & Safety Senior Machine Learning Engineer on the Policy & Safety team, focusing on building ML-driven systems for content moderation, policy enforcement, and regulatory compliance within Spotify's consumer experience. This role involves working at the intersection of ML, platform engineering, and compliance to ensure safety and trust across the platform. | AgentData | 7 |
| Backend Engineer - Music Spotify is seeking a Backend Engineer for its Artist-First AI Music lab to design and build state-of-the-art generative music products. The role focuses on creating new listening experiences for fans and artists, emphasizing artist partnerships, fair compensation, and artist-fan connection through AI tools. The engineer will contribute to shipping AI-powered music products. | Ship | 7 |
| Senior Machine Learning Engineer, Personalization, Music Understanding Senior Machine Learning Engineer focused on personalization for Spotify's music and podcast features, building recommendation systems and conversational playlist generation tools for hundreds of millions of users. | Ship | 7 |
| Machine Learning Engineer - Personalization Machine Learning Engineer for Spotify's Personalization team, focusing on improving music and podcast recommendations and search experiences. The role involves bringing emerging search and agentic experiences to a mature state, exploring, defining, building, validating, and optimizing new ideas. | ShipAgent | 7 |
| Senior Staff Machine Learning Engineer - Agentic Systems Senior Staff Machine Learning Engineer at Spotify focused on building an agent-powered platform for personalized listening experiences, including features like DJ, Search, and AI Playlists. The role involves working on a shared Agent Engine that powers agent-based experiences across the company, integrating distributed systems, ML, and user experience. | Agent | 7 |
| Machine Learning Engineer, Personalization, Samba Machine Learning Engineer on the Personalization team at Spotify, focusing on the Samba engine which powers recommendations, autoplay, radio, and personalized mixes. The role involves complex sequencing and optimization problems, balancing user preferences with business and creator needs, and delivering real-time personalization at scale. | Ship | 7 |
| Staff Machine Learning Engineer Staff Machine Learning Engineer on the Personalization team at Spotify, focusing on recommendation systems for music and podcasts to improve user satisfaction and engagement. The role involves prototyping and productizing state-of-the-art ML models. | Ship | 7 |
| Machine Learning Engineer Machine Learning Engineer for Spotify's Music Promotion team, focusing on building systems to understand and predict promotion performance for creators, providing actionable insights and data-driven solutions. | Ship | 7 |
| Machine Learning Engineer Machine Learning Engineer on the Personalization team at Spotify, focusing on recommendation systems to improve user satisfaction. The role involves designing, building, evaluating, integrating, and refining reward signals for recommendations, with a focus on A/B testing and integrating mid-term signals. Requires hands-on ML development and production ML systems experience. | ShipPost-train | 7 |
| Machine Learning Engineer, Personalization, Minesweeper Machine Learning Engineer on the Personalization team at Spotify, focusing on using LLMs for content understanding (music, podcasts, audiobooks) to improve recommendations and user experiences. The role involves hands-on ML development, fine-tuning, RAG, and building scalable systems. | Agent | 7 |
| Staff Engineer - Content Intelligence Infrastructure Staff Engineer focused on building and scaling foundational infrastructure for content understanding (audio, video, text, images) at Spotify. This role involves ML infrastructure, distributed data systems, and AI-enabled platform capabilities to power content enrichment, quality analysis, and annotation platforms. | Data | 5 |
| Senior Engineering Manager - Native Ads Senior Engineering Manager for Native Ads within Spotify's Music Mission. This role leads teams building advertising experiences that integrate with the listening journey, focusing on music, advertising, and personalization. It involves managing engineering managers and senior engineers, setting technical direction, driving delivery across distributed systems, and partnering with product and data science on ML-driven solutions. | Ship | 5 |
| Backend Engineer, Music Backend Engineer for Spotify's OASIS team, focusing on promotion delivery and optimization within Discovery Mode. The role involves building and operating systems that intelligently allocate promotional content by balancing complex objectives, working closely with Personalization teams. The engineer will own a core piece of infrastructure for promotion delivery at scale and is expected to leverage AI to improve systems, with exposure to data and ML workflows. | Agent | 5 |
| Backend Engineer - Podcast Backend Engineer responsible for the platform powering podcast and video podcast distribution, including ingestion, management, and internal tooling. | — | 0 |
| Technical Operations Lead This role is for a Technical Operations Lead at Spotify, focusing on managing and improving technical support operations for advertisers, sales partners, and internal stakeholders. The lead will handle escalations, support daily operations, and act as a liaison between customers and engineering to resolve issues and enhance the support experience. The role is not directly involved in AI/ML development but operates within a consumer-focused tech company. | — | 0 |
| Systems Manager - Financial Systems Operations Lead a team of analysts responsible for the day-to-day operations and continuous improvement of core SaaS platforms supporting Spotify's global financial operations, including Finance, Procurement, Accounting, and Legal partners. | — | 0 |
| Full Stack Engineer - Podcast Full Stack Engineer role focused on building and scaling creator tools for Spotify's Podcast Vertical, specifically working on subscriptions and fandom experiences. The role involves developing new features, enhancing existing platforms like Synced Feeds and the Spotify Open Access API, and establishing a foundation for creator monetization. | — | 0 |
| Engineering Manager – Messaging Platform & Tooling Engineering Manager for Spotify's Messaging Platform & Tooling, focusing on the system that determines what messages users receive across various channels (push notifications, email, in-app). The role involves shaping the next generation of this platform, with a specific focus on the 'Selection squad' which acts as the real-time decision engine for message delivery to users. | — | 0 |
| Senior Engineering Manager - Spotify for Artists Senior Engineering Manager for Spotify for Artists, leading a team focused on creator tools and services for music artists. The role involves managing managers, driving product innovation, and ensuring platform reliability for a large user base. | — | 0 |
| Backend Engineer, Music Backend Engineer for Spotify's Music Mission, focusing on the end-to-end campaign booking experience for creators. The role involves owning the full lifecycle of campaign management tools, ensuring a seamless, reliable, and scalable flow. While the core is backend engineering, there's a stated interest in leveraging AI to improve systems. | — | 0 |
| Backend Engineer, Podcast Backend Engineer for Spotify's Podcast Mission, focusing on core infrastructure for content processing, uploading, transformation, and distribution. The team also explores and builds APIs/infrastructure for AI-driven creator and listener experiences in podcasts and video. | — | 0 |
| Senior Fullstack Engineer - Backstage Portal, Data Experience Senior Fullstack Engineer to build and maintain connectors, APIs, and UIs for Spotify's Backstage Portal, focusing on ingesting dataset metadata and surfacing it in the Software Catalog. The role involves full-lifecycle product development, integrating with data warehouses and transformation tools to provide a unified view of data. | — | 0 |
| Backend Engineer - Data Infrastructure Backend Engineer role focused on building and operating a data analytics platform with an OLAP data store (Druid) for internal teams at Spotify. The role involves developing backend services, internal tooling, and ensuring the reliability and maintainability of the data infrastructure. | — | 0 |