Spotify

Research Scientist - Generative Audio

New York, NY

Sponsorship not specifiedDetected 11 days ago

PythonMachine LearningPyTorchComputer VisionLLMsSignal ProcessingResearchCollaboration

About the role

We invent entirely new listening experiences that center and celebrate artists and creatives.
We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.

Create practical applications that harness generative technologies and push the boundaries of what's possible in listening experiences.
We'll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for the use of their work and transparently credited for their contributions.
You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.

You have a Ph.D. in Computer Science, Mathematics, Engineering, or a related field.
You have publications at leading conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related venues.
You have strong coding skills in Python, PyTorch, and NumPy.
You are enthusiastic about turning research ideas into products operating at scale.
You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones.

All of our products will put artists and songwriters first, through these four principles:
They will give artists new ways to be creative and connect with fans.

Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for the use of their work and transparently credited for

Collaborate as part of a cross-functional team-working closely with scientists, engineers, product managers, designers, user researchers, and analysts-to craft innovative solutions to complex challenges.
We offer you the flexibility to work where you work best!

This listing is sourced directly from Spotify's careers page and normalized into a canonical job model.