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Something new at Spotify

Map intent into controls listeners can revise instead of broad rewrites

You’re the ai / ml engineer. Your team is in the room. Printed Oct 14, 2026.

Taste Profile needs to honor listener intent without turning discovery into a narrow filter.

Direct control should make recommendations understandable, while varied playable options keep the listening experience open.

Who you’d be doing this for

“I asked for calmer podcasts at night, and now my whole Home feels like one mood.”

Bibi Kassa · Premium listener

Uses Taste Profile to shift recommendations after a major change in listening habits.

What is at stake

Listeners are rewriting Taste Profile requests because broad changes produce lower satisfaction signals than explicit controls. You must weigh faithful intent handling against catalog grounding, diversity, and response speed.

Why it isn’t already fixed

Every obvious fix costs something else. That’s the part you’d have to decide.

  • listener control vs discovery breadth
  • natural language flexibility vs inspectable constraints
  • offline intent accuracy vs online satisfaction
  • fast interaction vs catalog grounding

Why Spotify

Taste Profile makes personalized recommendations visible and editable for Premium listeners.

Written with these in mind

personalization ML engineerapplied NLP engineerhuman-centered ML practitioner

Not your kind of problem? 14 more at Spotify, or browse every organization.

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.