Senior Applied Research Scientist
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
Spotify seeks a Senior Applied Research Scientist for the Personalization team in London or Stockholm to develop novel ML techniques for speech synthesis and speech recognition. The role involves working across a full production pipeline to create state-of-the-art generative conversational speech-to-speech models and collaborating with engineering teams.
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
- Strong background in ML (PhD degree on top of professional experience).
- Experience in working with any of the following: 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.
Benefits
- Extensive learning opportunities, through our dedicated team, GreenHouse.
- Flexible share incentives letting you choose how you share in our success.
- Global parental leave, six months off - for all new parents.
- All The Feels, our employee assistance program and self-care hub.
- Flexible public holidays, swap days off according to your values and beliefs.
#Personalization#Speech Models#Machine Learning#Speech Synthesis#Speech Recognition#Generative Models#Deep Learning