About this role
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.
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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)