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bigquery sql python go typescript📋 Description
- Design LLM guardrails to detect abuse in AI-generated code and interactions
- Build AI-powered detection using LLMs to identify threats and automate responses
- Build and operate abuse detection across phishing, cryptomining, account takeover
- Design automated response mechanisms that enforce platform policies without manual intervention
- Own the full abuse response lifecycle: detection, investigation, enforcement, appeals with Support/Legal
- Analyze attack patterns using BigQuery and Hex to turn findings into new detection rules
🎯 Requirements
- 8+ years in security engineering, anti-abuse, trust & safety, or fraud detection
- Strong Python and/or TypeScript skills for detection systems
- Experience with SQL and data analysis at scale (BigQuery, Snowflake, or similar)
- Experience building or fine-tuning ML/LLM-based classifiers for security or abuse detection
- Familiarity with prompt injection, jailbreaking, and other LLM-specific attack vectors
- Ability to investigate complex abuse patterns and translate findings into automated defenses
🎁 Benefits
- Competitive Salary & Equity
- 401(k) Program with a 4% match (US Only)
- Health, Dental, Vision and Life Insurance
- Short Term and Long Term Disability
- Paid Parental, Medical, Caregiver Leave
- Flexible Time Off (FTO) + Holidays
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