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ML / AI๐ŸŒ Remote optionLever job board

Senior Applied Research Scientist - Personalization

Spotify ยท ๐Ÿ‡ฌ๐Ÿ‡ง London, United Kingdom

Sponsorship Verification Proof

โœ“ ๐Ÿ‡ฌ๐Ÿ‡ง UK Home Office Licensed Sponsor

Employer is on the UK Home Office register of licensed sponsors.

UK Home Office Register of Licensed Sponsors (Skilled Worker route): listed as 'Spotify Limited', London โ€” Skilled Worker; Worker (A rating)

An official government register match confirms the employer holds an active sponsor licence in this country. It does not guarantee that every individual role meets minimum salary or skill thresholds โ€” always confirm sponsorship eligibility with the recruiter.

Verification category
Employer on official sponsor register
Role category
ML / AI
Last verified
2026-10-25
First indexed
2026-10-24
Posted date
2026-09-21
ATS / Feed source
Lever job board

Role Description (Excerpt)

The 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. What You'll Do โ€ขโ€ฆ

Excerpt only โ€” read the full requirements and apply directly on Spotify's career page. We do not process applications.