Senior Applied Research Scientist - Personalization
Spotify· Data and Analytics – Personalization
Hybrid (London / Stockholm)PermanentPosted 4w ago
About the role
Senior applied research scientist focused on developing novel ML techniques and architectures for speech synthesis/recognition in Spotify’s Speak Team, delivering state-of-the-art generative conversational speech-to-speech models and scalable production pipelines.
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 related field (or equivalent professional experience) with strong background in ML and experience with transformers, GANs, diffusion models, flow matching, VAEs, audio codecs.
- Experience developing generative models for speech synthesis, speech recognition, audio/music, natural language processing, or computer vision.
- Strong experience with Python, particularly PyTorch.
- Strong communication skills to explain technical ideas to technical and non-technical audiences.
- Experience in academic or professional settings conducting high-quality research.
Skills
Required:Machine Learning (general)TransformersGANs / diffusion models / VAEsAudio processing / speech synthesis / speech recognitionPython / PyTorchCommunication
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Spotify
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