Senior or Staff Data Scientist, Recommendations

As our founding Recommendation Data Scientist, you'll be instrumental in building Suno's music discovery and recommendation systems from the ground up. You'll help define how millions of users discover, create, and engage with music on our platform. This role combines technical expertise in recommendation systems with the creative challenge of applying strong principles and judgment to determine what truly compelling and valuable music recommendations look like. You'll work at the intersection of music, AI, and human behavior, collaborating closely with engineering, product, and growth teams to build systems that help users find their next favorite song or inspire their next creation. From hands-on data exploration and rapid prototyping to building up sophisticated ML models, you'll be deeply involved in the full spectrum of recommendation strategy and execution. This role is perfect for someone who thrives in open-ended environments, loves getting their hands dirty with data and prototyping, and is excited about defining the future of music discovery.