Suno is looking to protect its platform and users from abuse, fraud, and harmful behaviors/content, ensuring platform integrity and user safety.
Requirements
- 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
- Knowledge of anti-abuse techniques, bot detection, and content moderation systems
Responsibilities
- 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
Other
- 3+ years of experience in Trust & Safety, fraud detection, or content moderation
- Strong problem-solving skills and attention to detail
- Applicants must be eligible to work in the US.
- Company Equity Package
- 401(k) with 3% Employer Match & Roth 401(k)
