Senior Applied Research Scientist - Personalization

Job summary

Responsibilities

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else.

• 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…

What they're looking for

• 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…
• 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.

Tech stack

• Transformers
• Python
• PyTorch