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13 d agofound 12 d ago

Senior Applied Research Scientist - Personalization

Spotify·New York, NY·via lever
remotesenior5+ yrsFull timeml
What the posting is about

Develop novel ML techniques and architectures for state-of-the-art generative conversational speech-to-speech models. Collaborate with engineering teams to improve quality, understanding, and realism. Push the frontiers of speech technology.

Read out of the posting
Levelsenior
Experience asked5+ years
EmploymentFull time
LocationNew York, NY
RemoteYes
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-21
Found vialever, direct from their system

We saw it 20 hours after it went up.

The posting, as the company wrote it
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.

Copied from Spotify’s own board, not rewritten. Original ↗

Also open at Spotify

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