Software Engineer, Trust & Safety

Suno

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience in Trust & Safety, fraud detection, or content moderation
  • Strong Python and SQL skills (5+ years preferred)
  • Familiarity with data engineering tools and pipelines (Dagster, Airflow, or similar)
  • Proficiency in SQL and data analysis (Snowflake experience preferred)
  • Experience developing internal tools and dashboards for operational teams
  • Understanding of statistical analysis and anomaly detection techniques
  • 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
  • Develop internal tools and dashboards for Trust & Safety operations
  • Enhance detection algorithms to reduce false positives
  • Automate systems for content moderation, user verification, and abuse prevention
  • Analyze large datasets in Snowflake to discover new attack vectors and optimize detection methods
  • Collaborate with product and engineering teams to implement Trust & Safety features

Benefits

  • Company Equity Package
  • 401(k) with 3% Employer Match & Roth 401(k)
  • Medical, Dental, & Vision Insurance with 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)
Full Job Description
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
  • Bachelor's degree or equivalent required.
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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