Software Engineer, Trust & Safety

Location

Boston, NYC

Full time

On-site

Engineering

• $170K – $240K
  • Offers Equity

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.

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)

Compensation Range: $170K - $240K