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 |