Suno Senior/Staff Data Scientist at Suno focused on Trust & Safety to build metrics and models ensuring platform security. Collaborate cross-functionally to measure and improve trust and safety practices.
Responsibilities
Trust should be the foundation of every relationship Suno has — with our users, our artists, our rightsholders, and the broader music community. We're looking for our first dedicated data scientist on the Trust & Safety team to help make that real by building the metrics and analysis that let us measure how we're doing, and collaborating to define and execute on an impactful roadmap. You'll partner closely with product, engineering, and legal to bring a rigorous, quantitative lens to problems like copyright detection, content filtering, and bot detection. You and cross-functional stakeholders will work together to create a seamless creative environment for our users that is built on security and trust.
Listen to the song we made about the role: https://suno.com/s/ip8Q3TIlQxuaTyOt
Define and evaluate metrics for the health of our trust and safety ecosystem
Analyze and build models, algorithms, and methodologies for maintaining a safe platform, like bot detection, content filtering, copyright detection, etc.
Design and run experiments that measure the real impact of changes to Trust & Safety practices, and turn results into clear recommendations
Partner with product and engineering to size opportunities and shape the Trust & Safety roadmap
Contribute to building strong data foundations as part of our awesome data science team
Qualification
Strong hands-on SQL and PythonMusician or creative hobbyistWork Location PolicyAdditional Notes
Required
6–8 years of experience in data science or a closely related analytical field, with several years in trust & safety or closely adjacent problems (e.g., spam/fraud, integrity, policy-adjacent ML)
Strong hands-on SQL and Python
Experience running online experiments end-to-end, from ideation and metrics selection through analysis and informing the final decision
Experience building metrics or evaluation frameworks from scratch, without established precedent to lean on
Preferred
Experience training and building predictive ML models, offline and real-time.
Musician or creative hobbyist
Work Location Policy
This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience.
