Senior Applied Research Scientist - Personalization
Spotify
Senior Applied Research Scientist - Personalization is a still-open role at Spotify on Jobrow. Location: Remote · New York, NY. Sourced from the company's public Lever board. First seen 2 months ago; last confirmed 15 hours ago. Apply on the employer ATS — Jobrow is not the employer.
- Pay
- —
- Workplace
- Remote
- Location
- New York, NY
- First seen
- 2 months ago
- Last seen
- 15 hours ago
- Board
- Lever
About this role
The Personalization team makes deciding what to play next easier and more enjoyable for every listener.
- Function: Research
- Seniority: senior
Location & pay
Remote · New York, NY No pay range was listed on the public board feed.
Source
Jobrow reads the public Lever board for Spotify. First seen 2 months ago; last seen 15 hours ago. We are not the employer — apply only on the company ATS.
Posting
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.
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