Senior Applied Research Scientist - Personalization

The Personalization team at Spotify makes deciding what to play next easier and more enjoyable for every listener. We're behind some of Spotify's most-loved features, such as Blend and Discover Weekly. The Speak Team, part of Personalization, develops state-of-the-art speech models for speech recognition, speech synthesis, and speech-to-speech models.

We're looking for a senior applied research scientist to join the Speak Team. As a senior applied research scientist, you will develop novel ML techniques and architectures for speech synthesis and speech recognition. You will collaborate with engineering teams to develop production pipelines, explore new ideas, and push the frontiers of speech technology.

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 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 engineering and data teams on ideas requiring new infrastructure or new high-quality data.

Requirements

• Strong background in ML (PhD degree on top of professional experience).
• Experience in working with transformers, GANs, diffusion models, flow matching, VAEs, audio codecs.
• Experience in 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 and the ability to explain technical ideas with clarity to technical and non-technical people alike.
• Experience in an academic or professional setting conducting high-quality research.

Location and Flexibility

• This role is based in London or Stockholm.
• We offer flexibility to work where you work best, with some in-person meetings.