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, 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 |
| 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 |
| 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 |