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Senior Applied Research Scientist - Personalization

Develop state-of-the-art speech models for Spotify

As a Senior Applied Research Scientist, you'll work on developing novel ML techniques and architectures for speech recognition, synthesis, and speech-to-speech models, collaborating with engineering teams to improve quality and push the frontiers of speech technology.

Why This Role?

Contribute to groundbreaking work on speech synthesis

Key Responsibilities

  • Develop novel ML techniques and architectures for speech models
  • Collaborate with engineering teams to improve production pipelines
  • Explore new ideas and methods to enhance quality and realism

Requirements

  • Experience in developing ML techniques and architectures
  • Strong interest in working across a full production pipeline
  • Knowledge of state-of-the-art deep learning methods and evaluation techniques

Required Skills

machine learningdeep learningspeech recognitionspeech synthesisdata processingNatural Language Processing

Indonesia Context

Working Hours Overlap:
Flexible — work your own hours
See remote (USD) vs local pay →
View Original Description from Lever PostingsShow more

Original description from Lever Postings

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.

Salary Context

Similar Data & Analytics roles on LokerDollar pay around $155k/yr (range $32k–262.8k/yr, n=73 active listings).

Hiring at Spotify

Spotify has 23 other active roles on LokerDollar and has been hiring here since May 7, 2026 — across Data & Analytics, Engineering, AI.

View all Spotify openings →

Market context

  • ESTIMATEEstimated pay is in line with the role median of $155,000/year (n=73 pay-disclosing listings).
  • VERIFIEDSpotify: 56 postings in the last 3 months, 156 all-time on LokerDollar.
  • VERIFIEDCompany first seen May 7, 2026.
  • VERIFIEDThis listing first seen Sep 22, 2026.
  • VERIFIEDLast verified live Sep 30, 2026.

Openness not stated by employer — check the listing

Company
Spotify
Estimated salary
$140k–170k/yr
Based on similar roles — not stated by the employer
Job Type
full time
Location
Remote · Countries not stated
Seniority
senior
PostedFreshVerified
Sep 21, 2026

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Frequently asked questions

Is Senior Applied Research Scientist - Personalization at Spotify a remote job?
Yes, Senior Applied Research Scientist - Personalization at Spotify is remote, but the employer did not state which countries can apply. Check the listing before applying.
What type of employment is Senior Applied Research Scientist - Personalization at Spotify?
This is a full time position.
How do I apply?
Click the "Apply" button on this page to go to the official application at Spotify.

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