A leading technology firm in San Francisco is looking for a Software Engineer in Trust and Safety to safeguard its platform against abuse and fraud. The ideal candidate will have 3+ years of experience in Trust & Safety or fraud detection, with a strong proficiency in Python and SQL. Responsibilities include building data pipelines, designing detection systems, and developing operational tools. The role offers competitive compensation, including equity, and comprehensive benefits.
Qualifications
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.
Responsibilities
Build and maintain data pipelines for bot detection and content moderation using Python, Snowflake, and Dagster.
Design and implement anomaly detection systems.
Develop internal tools and dashboards for Trust & Safety operations.
Skills
Python
SQL
Data Engineering Tools (Dagster, Airflow)
Statistical Analysis
Anomaly Detection Techniques
Problem-Solving Skills
Tools
Snowflake
Job description
A leading technology firm in San Francisco is looking for a Software Engineer in Trust and Safety to safeguard its platform against abuse and fraud. The ideal candidate will have 3+ years of experience in Trust & Safety or fraud detection, with a strong proficiency in Python and SQL. Responsibilities include building data pipelines, designing detection systems, and developing operational tools. The role offers competitive compensation, including equity, and comprehensive benefits.