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Spotify·Media·1 day ago
1 day agoBe an early applicant

Senior Applied Research Scientist - Personalization

London, United KingdomFull-timeRemoteSenior · 5-8 yearsAI / ML Researcher

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Must-have skills for this role

  • machine learning
  • deep learning
  • speech-to-speech models
  • speech recognition

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Apply faster with autofill FREESpotify uses Lever - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Collaborate with engineering teams to help develop production pipelines
  • Explore new ideas and methods to improve quality, understanding and realism
  • Push the frontiers of what is possible with speech technology
  • Develop state-of-the-art speech models, contributing to speech recognition, speech synthesis, and speech-to-speech models

What they're looking for

  • Experience in developing novel ML techniques and architectures
  • Strong interest in working across a full production pipeline to produce state-of-the-art generative conversational speech-to-speech models

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

he Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.

Within Personalization, the Speak Team owns the development of Spotify's state-of-the-art speech models, contributing to speech recognition, speech synthesis, and speech-to-speech models. We craft voice models that match human-level emotional expressiveness, so we can deeply engage our listeners and support creators at scale. Our groundbreaking work on speech synthesis relies on state-of-the-art deep learning methods and evaluation techniques, highly efficient data processing and model serving, and capturing audio of outstanding quality from our voice talent pool.

We're looking for a senior applied research scientist with experience in developing novel ML techniques and architectures and with a strong interest in working across a full production pipeline to produce state-of-the-art generative conversational speech-to-speech models. You'll collaborate with our engineering teams to help develop our production pipelines, explore new ideas and methods to improve quality, understanding and realism, as well as push the frontiers of what is possible with our speech technology.
Media

Company

SpotifyMedia
London, United Kingdom

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Spotify's careers site·first seen 21 Sept 2026·last verified 21 Sept 2026·How we source jobs

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