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Software Engineer, Trust & Safety at Suno. Remote Location: Boston. About Suno. Suno is a music company for the next generation of creators. Its AI-powered platform makes it easy for anyone to create original music. Built by musicians and engineers, Suno empowers users to turn ideas into fully produced tracks in minutes and unlocks a more rewarding music making experience full of endless new creative possibilities. Whether you're a first-time songwriter or a seasoned artist, Suno helps you make music that's meaningful, personal, and uniquely yours.. 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!. 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. 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)