Backend Engineer - Music

We are seeking a Backend Engineer to join our Artist-First AI Music lab. Our team designs and builds state-of-the-art generative products for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:

• Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
• Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
• 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 uses of their work and transparently credited for their contributions.
• Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. 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.

Build backend systems that support generative AI usage at scale

Design and develop APIs that power AI creation flows, content consumption, and reporting

Work closely with Product and Design to bring new features to life

Improve system scalability, performance, and reliability

Contribute to a collaborative engineering culture through code reviews and knowledge sharing

Help evolve our architecture as we grow and scale

You have experience developing backend systems using Java

You know how to design APIs and work with service-based architectures

You write clean, maintainable, and well-tested code

You care about performance, scalability, and system reliability

You enjoy working collaboratively in cross-functional teams

You are curious, proactive, and motivated to learn and grow

You have experience contributing to production systems

You are interested in applying AI to improve systems and exploring practical use cases

• This role is based in New York, NY
• 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.
• We ask that you come in 3 times per week