Software Engineer, Trust & Safety

Suno Logo
Suno
Boston, MASSACHUSETTS, United States
170000 - 240000 USD / 1 YEAR
  • Engineering
  • FullTime
  • Applications have closed

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)

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