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.
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 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 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 |
| 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 |