Software Engineer, Trust & Safety

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)

Compensation Range: $170K - $240K