Machine Learning Engineer - Artist-First AI Music Lab
Spotify
If you want to work on machine learning that actually reaches millions of people, this is a direct path. Spotify's Artist-First AI Music Lab builds generative AI products for music creators and their fans. You'll be part of a team that ships real products with real constraints—not experimental demos. For someone early in your career, that's where you learn fast.
You'll help design and build state-of-the-art AI music tools. The work spans the full cycle: from research and model development to shipping features that creators and listeners use. The lab operates under a clear principle: artists and songwriters come first. That means working within partnerships with labels and distributors, building opt-in participation for creators, and designing for fair compensation. It's technical work with ethical guardrails built in from the start.
This role fits you if you have a strong foundation in machine learning—coursework in deep learning, statistics, or computer science. A portfolio of projects (GitHub, Kaggle, school work) matters more than prior work experience. Interest in music, audio processing, or generative models is helpful but not required. You'll grow fastest working alongside people who care about both the engineering and the impact.
Apply directly through CareerJumpShip to submit your resume and any portfolio links. Spotify will review your background and next steps from there.
About this role
The Music Mission team owns Spotify’s end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale. Our Artist-First AI Music Lab designs and builds state-of-the-art generative AI products for music that create breakthrough experiences for fans and artists. We are currently searching for a Machine Learning Engineer to join our journey as we invent entirely new listening experiences that center and celebrate artists and creatives. All of our products put artists and songwriters first through four guiding 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.
Ready to apply?
Related roles
Similar remote openings sourced directly from company career pages.
- Spotify
Senior Full Stack Engineer - WhoSampled
Remote - soundcloud71
iOS Engineer - Fan Monetization
New York City, NY, USlead$0K – $165K - soundcloud71
Android Engineer - Fan Monetization
New York City, NY, USlead$0K – $165K - soundcloud71
Senior Web Engineer - Fan Monetization
New York City, NY, USsenior$0K – $195K