SpotifyCoLM 2026 — Intern
AI in this role
Machine learning and AI internship focused on personalization, recommendations, and audio analysis at Spotify.
PLEASE READ BEFORE APPLYING
This posting is intended specifically for candidates who are participating in CoLM and is not a general application for open roles at Spotify.
When applying, you’ll be asked to select how you engaged with us at the conference. Please answer this question accurately. Applications indicating conference participation or engagement that did not occur may be removed from consideration.
If you are interested in opportunities at Spotify but are not attending CoLM please visit our Life at Spotify page to explore current openings.
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Thanks for connecting with the Spotify team at the conference! This posting is a way for us to stay in touch and keep the conversation going.
At Spotify, machine learning and AI are at the heart of how we personalize music, podcasts, and audiobooks for hundreds of millions of listeners around the world. Our ML teams tackle problems across recommendation systems, search and ranking, natural language understanding, generative AI, audio analysis, and more — and we're always looking for talented students who want to work on real problems at real scale as part of our internship program.
By applying here, you're expressing interest in ML/AI internship opportunities at Spotify. This isn't tied to a specific role or team — our team will follow up to explore the right fit based on your background, interests, and experience.
How we score this
CoLM 2026 — Intern at Spotify scores 90 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where recommendation systems was part of your work. What did you do?
- Tell me about a project where natural language processing was part of your work. What did you do?
- Tell me about a project where artificial intelligence was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Machine Learning, Recommendation Systems, Natural Language Processing, Artificial Intelligence, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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