Software Engineer, Trust & Safety

Software Engineer, Trust & Safety

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Suno is a music company built to amplify imagination. Powered by the world’s most advanced AI music model, Suno offers an unparalleled creative platform that includes Suno Studio, a breakthrough generative audio workstation. From shower-singers to aspiring songwriters to seasoned artists, Suno empowers a global community to create, share, and discover music—unlocking the joy of musical expression for all.

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.

• 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

• 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

• 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

Applicants must be eligible to work in the US.

• 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)

Mid‑Senior level

Full‑time

Engineering and Information Technology

Technology, Information and Internet