AI Jobs & Internships at Spotify 2026
Spotify has built one of the most beloved recommendation systems in consumer tech — Discover Weekly and Daily Mix have defined how hundreds of millions of people discover music. The company's ML teams work on music recommendation, podcast discovery, audio understanding, ad targeting, and the personalization infrastructure that powers Wrapped and other beloved features. Spotify Research is also active in publishing work on audio machine learning and recommendation system evaluation.
AI Roles at Spotify
ML Engineer
Research Scientist
Audio AI Engineer
Music Recommendation Engineer
Data Scientist
Podcast ML Engineer
Ad Targeting Engineer
ML Platform Engineer
Work Culture at Spotify
Spotify operates with a band-based organizational model where small, autonomous teams have significant ownership over their product area. The culture balances Swedish work-life values with global tech company ambition — employees work hard but the culture is notably more sustainable than Silicon Valley norms. Music is genuinely central to the culture. The distributed team structure (Stockholm, New York, London, Boston) makes the company an attractive employer for candidates outside Silicon Valley.
How to Get a Job at Spotify
- 1.
Deep interest in music, audio, or podcast content strengthens your application — Spotify specifically looks for team members who are genuine users of the product
- 2.
Audio ML expertise — music information retrieval, audio embeddings, acoustic modeling — is a differentiating skill for Spotify's unique application domain
- 3.
Spotify's recommendation system architecture (collaborative filtering with neural network approaches) is well-documented on their tech blog — familiarity demonstrates interest
- 4.
The distributed culture means remote candidates in Stockholm, New York, and London are very competitive alongside US candidates
- 5.
Spotify internships are available across these geographies — apply to the location most aligned with your target career geography