Senior Applied Research Scientist - Personalization
Key Skills for This Role
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What You'll Do
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.
Who You Are
You have a strong background in ML (PhD degree on top of professional experience), and
experience in working with any of the following: transformers, GANs, diffusion models, flow matching, VAEs, audio codecs.
You have experience in developing generative models for speech synthesis, speech recognition, audio/music, natural language processing, or computer vision.
You have strong experience with Python, particularly PyTorch.
You have strong communication skills and the ability to explain technical ideas with clarity to technical and non-technical people alike.
You have experience in an academic or professional setting conducting high-quality research.
Where You'll Be
This role is based in London or Stockholm.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
About Spotify
Spotify is a digital music, podcast, and video streaming service that gives users access to millions of songs and other content from creators worldwide.
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