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 Research Scientist - Music Senior Research Scientist to join the Artist-First AI Music lab, focusing on pioneering and advancing state-of-the-art generative technologies for music. The role involves conducting research in music generation, ML-based audio processing, and related domains, running large-scale experiments, creating practical applications, and publishing findings. The goal is to invent new listening experiences that center artists and creatives, with a focus on fair compensation, artist-fan connection, and artist choice in participation. | Post-trainServe | 9 |
| Research Scientist - Music Research Scientist role focused on generative AI for music, involving research in music generation, audio processing, and related ML domains. The role will run large-scale experiments, create practical applications, and publish research findings. It requires a PhD and experience in generative modeling, ML, and audio processing, with strong coding skills in Python and PyTorch. |
| Post-trainServe |
| 9 |
| Senior Machine Learning Engineer, Zeitgeist, Personalization Senior Machine Learning Engineer focused on building systems and models for real-time culture understanding using LLMs and agentic workflows, contributing to personalized listening experiences for millions of users. | Agent | 8 |
| Staff Machine Learning Engineer - Content Intelligence Staff Machine Learning Engineer to build and scale foundational ML systems for content understanding across audio, video, text, and images at Spotify. The role focuses on enabling automation, improving quality, and unlocking new product experiences for millions of listeners and creators. | Post-train | 8 |
| Research Scientist - Personalization Research Scientist role focused on improving personalization experiences at Spotify by integrating state-of-the-art generative AI technologies into search and recommender systems. The role involves researching, developing, and applying these technologies to practical applications like search, recommendation, and language understanding in audio domains, with a strong emphasis on publishing research and contributing to the wider community. | AgentServe | 8 |
| Staff Machine Learning Engineer - Policy & Safety Staff Machine Learning Engineer on the Policy & Safety team, responsible for building systems that ensure Spotify's content and product experiences are safe and trustworthy at scale. This involves developing detection models, policy enforcement systems, compliance pipelines, and a safety-by-default platform, particularly for emerging AI-driven features. | AgentServe | 7 |
| Senior Machine Learning Engineer - Policy & Safety Senior Machine Learning Engineer on the Policy & Safety team, responsible for building and scaling ML-driven systems for content moderation, policy enforcement, and compliance within Spotify's consumer experience. This role involves working at the intersection of ML, platform engineering, and regulatory compliance to ensure user safety and trusted interactions. | AgentData | 7 |
| Senior Staff Machine Learning Engineer, Content Platform Senior Staff Machine Learning Engineer to build and scale foundational ML systems for content understanding, safety, and decisioning within Spotify's consumer experience. This role focuses on shaping the architecture and technical strategy for evaluating, governing, and safely delivering content globally, impacting both listeners and creators. | ShipData | 7 |
| Senior Staff Machine Learning Engineer - Content Policy & Safety Senior Staff Machine Learning Engineer to build and scale ML systems for content safety, policy enforcement, and compliance at Spotify. The role focuses on automated systems that evaluate and act on content, ensuring decisions are consistent, explainable, and reliable at scale, which is critical for maintaining trust. | Eval GatePost-train | 7 |
| Engineering Manager - AI Fleet Management & Honk Engineering Manager to lead a team building the next generation of fleet management and AI agents for Spotify's external developer platform (Portal). The role focuses on redesigning platform engineering around intelligent agents, LLMs, and automation to improve how developers ship and maintain software at scale. | AgentServe | 7 |
| Machine Learning Engineer, Personalization, Samba Machine Learning Engineer role focused on personalization at Spotify, powering features like autoplay, radio, and personalized mixes. The role involves working on complex sequencing and optimization problems, balancing user preferences with business and creator needs, and delivering real-time personalization at scale. It blends machine learning, backend engineering, and data expertise. | Ship | 7 |
| Staff Machine Learning Engineer Staff Machine Learning Engineer on the Personalization team at Spotify, focusing on building and productizing ML models for recommendation systems to improve user satisfaction and listening experience. The role involves collaboration with researchers and data scientists to enhance Home recommendation systems. | Ship | 7 |
| Security Engineer - Product Security Security Engineer focused on protecting Spotify's platform and users, with a specific emphasis on securing AI/ML systems and generative AI applications. The role involves integrating security best practices, conducting threat modeling, evaluating security tools for AI/ML, and contributing to incident response for AI systems. | ShipData | 7 |