Senior Applied Research Scientist - Personalization

Spotify
New York
Workplace: RemoteFull timeUSD 169,157 - 241,653 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Collaboration","Research orientation","Problem-solving"]

Join Spotify’s Personalization Speak team to build state-of-the-art speech models for speech recognition, speech synthesis, and speech-to-speech. You’ll develop novel ML methods and generative techniques, then collaborate with engineering and data teams to improve end-to-end pipelines, data quality, model evaluation, and deployment at scale. Work across research and production to expand speech use cases across markets and products, helping keep millions listening.

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FursaFursa
Spotify
Spotify
1 day ago

Senior Applied Research Scientist - Personalization

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Last checked: 15 hours agoStatus: Live

Job Summary

Join Spotify’s Personalization Speak team to build state-of-the-art speech models for speech recognition, speech synthesis, and speech-to-speech. You’ll develop novel ML methods and generative techniques, then collaborate with engineering and data teams to improve end-to-end pipelines, data quality, model evaluation, and deployment at scale. Work across research and production to expand speech use cases across markets and products, helping keep millions listening.
Location: New York
Workplace: Remote
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and experiment with new methods for speech synthesis and speech recognition, including end-to-end generative approaches.
  • •Expand speech use-cases across different markets and products.
  • •Build and create speech models at scale with a dedicated research team.
  • •Share research best practices and knowledge with other researchers in the Speak team.
  • •Collaborate with engineering and data teams to improve speech recognition and speech synthesis pipelines, including infrastructure and high-quality data needs.

Pay and Benefits

Salary: USD 169,157 - 241,653 annually
Equity and Bonus:Equity
Perks:Health InsurancePaid Parental401kMeal AllowancePaid LeaveFlexible Holidays

Key Requirements

  • •PhD plus professional experience with a strong background in machine learning.
  • •Experience developing novel ML techniques and architectures for generative speech and audio applications.
  • •Experience with at least one of: transformers, GANs, diffusion models, flow matching, or VAEs (plus related audio modeling).
  • •Experience developing generative models for speech synthesis, speech recognition, audio/music, natural language processing, or computer vision.
  • •Strong Python experience, particularly PyTorch, with the ability to communicate technical ideas clearly to both technical and non-technical audiences.
Experience:Machine learningSpeech recognitionSpeech synthesisGenerative modelsAudioNatural language processingComputer visionTransformersDeep learning
Education:PhD / Doctorate
Skills:CommunicationCollaborationResearch orientationProblem-solving
Tech Stack:PythonPyTorchTransformersGANsDiffusion modelsFlow matchingVAEsAudio codecs

Company Brief

Spotify
Provides a music, podcast and audio streaming service offering on-demand access to millions of tracks and podcasts, personalized recommendations, and advertising and subscription-based tiers for listeners and creators worldwide.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Stockholm, Sweden
Founded: 2006
Glassdoor
Glassdoor: 4.1
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