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).
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).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer - Personalization, Horizon Machine Learning Engineer focused on building and shipping agentic-based features and interactive experiences for Spotify's personalization mission, leveraging generative AI and LLMs to reshape audio interaction. | Agent | 9 |
| Senior Machine Learning Engineer - Personalization, Horizon Senior Machine Learning Engineer focused on building and shipping agentic-based features and interactive experiences for Spotify's personalization mission, leveraging generative AI and LLMs to create new listening experiences. The role involves designing, prototyping, and productionizing ML systems at scale, with a focus on incorporating human feedback and collaborating with cross-functional teams. | AgentPost-train |
| 9 |
| 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. | ShipData | 8 |
| Machine Learning Engineering Manager - Music Engineering Manager to lead a Research Engineering team focused on generative AI for music. The role involves managing engineers, owning the roadmap, ensuring efficient training pipelines, and transitioning research prototypes into production features for millions of users. The team works on state-of-the-art generative technologies for music, focusing on artist-first principles, partnerships, choice, fair compensation, and artist-fan connection. | ShipPost-train | 8 |
| Senior Machine Learning Engineer, Personalization, Magenta Senior Machine Learning Engineer focused on building production-grade machine learning systems for conversational and agentic AI experiences in personalization at Spotify. The role involves designing and shipping systems that interpret user intent, manage context, orchestrate tools, and utilize evaluation frameworks like LLM-as-judge. | AgentEval Gate | 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 |
| Director, Machine Learning Engineering - Surfaces Foundation Director of Machine Learning Engineering for Spotify's Surfaces Foundation team, focusing on personalized recommendation systems that power hundreds of millions of listeners. The role involves leading a group that shapes AI-driven recommendations across all Spotify surfaces, balancing ML infrastructure with product experience and enabling other teams to move faster. | ShipServe | 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 |
| Staff Machine Learning Engineer, Home Podcast Staff Machine Learning Engineer for Spotify's Home Podcast team, focusing on building and scaling podcast recommendation systems. The role involves hands-on ML development, including designing, evaluating, integrating, and refining reward signals for recommendations, with a focus on transformer-based models and A/B testing. | ShipPost-train | 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 Engineering Manager - Surfaces Music Machine Learning Engineering Manager for Spotify's Surfaces Music team, focusing on building and scaling systems for music recommendations across key experiences like Home and Now Playing. The role involves candidate generation, ranking, and embedding models, with a focus on transformer-based personalization for millions of listeners. | ShipServe | 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 |
| Data Engineer - Gen AI - Music Data Engineer for Spotify's Artist-First AI Music lab, focusing on building and maintaining large-scale data pipelines, including ML pipelines, using frameworks like Scio and Python on Google Cloud Platform to create generative music products. | Data | 7 |
| Senior Machine Learning Engineer - Ads R&D Senior Machine Learning Engineer role focused on optimizing ad loads for users on Spotify's audio and video platform. The role involves designing and implementing ML systems for ad performance, researching optimization strategies, analyzing user behavior with ML, and collaborating with cross-functional teams. Requires expertise in applied ML, software engineering, data analysis, Python/Java/Scala, Tensorflow/PyTorch, and data pipelines (Beam/Spark). Experience with LLMs, Ray, Adtech, or Recommender Systems is a plus. | Ship | 7 |