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Spotify · via Lever
Senior Applied Research Scientist - Personalization
New York, NY · Remote
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.
Requirements
- 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.
- This role is based in New York City.
- 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