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About the Role
Suno is seeking a Software Engineer, Trust and Safety, to safeguard our platform and users from abuse, fraud, and harmful content. This role is crucial for enhancing user safety and platform integrity, fostering a more secure environment for our community.
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
- 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
- Collaborate with product and engineering teams to implement Trust & Safety features at scale
- Assist finance teams in reducing fraudulent transactions and chargebacks by identifying and preventing payment abuse
Requirements
- 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
- Bachelor's degree or equivalent required
- Applicants must be eligible to work in the US
Skills
- Python
- Snowflake
- Dagster
- SQL
- Data Engineering
- Anomaly Detection
- Statistical Analysis
- Real-time Systems
- Event-driven Architectures
- Machine Learning Pipelines
- Model Deployment
- Cybersecurity
- Anti-fraud Systems
- Behavioral Analytics
- User Journey Analysis
- A/B Testing
- Experimentation
Location
- US
Work Type
- Full-Time
Experience Level
- 3+ years
Education Level
- Bachelor's degree or equivalent
Benefits
- 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)
About the Company
- We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfilment of making music.
- Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.
- Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity.
- For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.
- Suno is the fastest growing consumer entertainment company and the leader in AI music.
- We are backed by leading investors including Menlo Ventures, Lightspeed Venture Partners, Matrix Partners, NVentures (venture arm of NVIDIA).
Equal Opportunity
- Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.