Software Engineer, Trust & Safety
Suno
Official active full-time posting for Software Engineer, Trust & Safety at Suno, located in San Francisco.
Role facts
| Employer | Suno |
|---|---|
| Location | San Francisco |
| Work mode | On-site / not stated |
| Remote scope | unknown |
| Employment | full-time |
| Function | Engineering |
| Track | industry |
| Seniority | unspecified |
| Compensation | 170000–240000 USD / year |
| Posted | 2026-06-02 |
| Work authorization | Applicants must be eligible to work in the US. |
| Official posting | Open official posting ↗ |
Responsibilities
- 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: https://suno.com/s/FsUvdRnu5MoxhjY2
- 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
Required skills
- 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.
Preferred skills
- 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
Tools, models and methods
- machine learning
- trust and safety
- experimentation
- data pipelines
- A/B testing
- Python
- SQL
Related
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Update history
- Status unknown → active
- Official URL unknown → jobs.ashbyhq.com/suno/dba162e0-97f1-4efe-b4ff-c7d671a01b11
- Record maintenance · 12 fields updated
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