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Senior Applied Research Scientist - Personalization

Spotify· Data and Analytics – Personalization
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New York City$169.2k - $241.7kPermanentPosted 4w ago

About the role

Senior applied research scientist focused on development of state-of-the-art speech models within Spotify's Speak Team, driving speech synthesis, recognition, and speech-to-speech models at scale. Collaborates across production pipelines and with engineering/data teams to turn research ideas into scalable products.

Responsibilities

  • Develop and experiment with new methods for speech synthesis and speech recognition, along with end-to-end approaches, building on the latest research and ideas.
  • Work towards the expansion of our speech use-cases targeting different markets and products.
  • Be part of a highly motivated research team dedicated to building and creating models at scale to power the Spotify platform.
  • Champion best practices for research and development, sharing your knowledge and experience with other researchers within Speak.
  • Collaborate with our engineering and data teams on ideas requiring new infrastructure or new high-quality data, as well as to help improve our speech recognition and speech synthesis pipelines, and help turn proven ideas into scalable products.

Qualifications

  • PhD degree in ML or equivalent professional experience (strong ML background)
  • Experience with transformers, GANs, diffusion models, flow matching, VAEs, audio codecs
  • Experience in developing generative models for speech synthesis, speech recognition, audio/music, NLP, or computer vision
  • Strong Python experience, particularly PyTorch
  • Strong communication skills and ability to explain technical ideas to technical and non-technical audiences
  • Experience conducting high-quality research in academic or professional settings

Skills

Required:ML fundamentals (transformers, GANs, diffusion models, VAEs, etc.)Generative models for speech and audioPython

Benefits

  • health insurance
  • six month paid parental leave
  • 401(k) retirement plan
  • monthly meal allowance
  • 23 paid days off
  • 13 paid flexible holidays
Last updated Oct 21, 2026. Interested? Apply on the company site.

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