Software Engineer, Trust & Safety

ABOUT SUNO We're building the world's first platform for creating and discovering original music, including Suno Studio, a generative audio workstation, and Hooks, a new way to create and share videos that bring songs to life. Powered by the world's most advanced music-creation model and designed to amplify imagination, our platform makes it possible for anyone to turn inspiration into music, where ideas flow into sound, songs become yours, and everyone can experience the joy of creating. Suno is one of the fastest-growing AI startups in the world, backed by leading investors including Menlo Ventures, Lightspeed Venture Partners, Matrix, NVentures, and Hallwood Media. ABOUT THE ROLE Suno is hiring a Software Engineer, Trust and Safety, to be on the front lines of protecting our platform and users from abuse, fraud, and harmful behaviors / content. Your work will directly impact user safety and platform integrity, making it a more trustworthy place for our community. Check out our Suno version of the job here! https://suno.com/s/FsUvdRnu5MoxhjY2 What You'll Do - Build and maintain data pipelines for bot detection and content moderation using Python, Snowflake, and Dagster - Design and implement anomaly detection systems to identify suspicious patterns in user behavior and platform activity - Develop internal tools and dashboards for Trust & Safety operations and investigations - Help improve detection algorithms and reduce false positives - Build automated systems for content moderation, user verification, and abuse prevention - Analyze large datasets in Snowflake to uncover new attack vectors and improve existing detection methods - Work closely with product and engineering teams to implement Trust & Safety features at scale - Help finance teams reduce fraudulent transactions and chargebacks by identifying and preventing payment abuse WHAT YOU'LL NEED - 3+ years of experience in Trust & Safety, fraud detection, or content moderation - Strong Python and SQL skills (5+ years preferred) - Experience with data engineering tools and pipelines (Dagster, Airflow, or similar) - Proficiency with SQL and data analysis (Snowflake experience preferred) - Experience building internal tools and dashboards for operational teams - Understanding of statistical analysis and anomaly detection techniques - Experience with real-time systems and event-driven architectures - Strong problem-solving skills and attention to detail - Knowledge of anti-abuse techniques, bot detection, and content moderation systems - Bachelor's degree or equivalent required. NICE TO HAVE - Experience with machine learning pipelines and model deployment - Background in cybersecurity or anti-fraud systems - Knowledge of behavioral analytics and user journey analysis - Experience with A/B testing and experimentation in Trust & Safety ADDITIONAL NOTES Applicants must be eligible to work in the US. PERKS & BENEFITS FOR FULL-TIME EMPLOYEES - Company Equity Package - 401(k) with 3% Employer Match & Roth 401(k) - Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) - 11 Paid Holidays + Unlimited PTO & Sick Time - 16 Weeks of Paid Parental Leave - Creative Education Stipend - Generous Commuter Allowance - In-Office Lunch (5 days per week) Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.