Software Engineer, Trust & Safety

About Suno We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfilment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). 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. Compensation The annual salary range for this role is $170K – $240K + target equity + benefits (including medical, dental, vision, and 401k) 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.

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