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bigquery sql python kubernetes gcp📋 Description
- Design LLM guardrails to detect abuse in AI-generated code and agents
- Build AI-powered detection systems to identify threats and automate responses
- Build and operate abuse detection across millions of daily user actions
- Design automated responses to enforce policies without manual intervention
- Own the full abuse lifecycle: detection, investigation, enforcement, and appeals
- Analyze attack patterns with BigQuery and Hex to create new detection rules
🎯 Requirements
- 4+ years in security engineering, anti-abuse, trust & safety, or fraud detection
- Strong programming skills in Python and/or TypeScript for detection systems and automation
- 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
- Clear communication across Security, Support, Legal, and Engineering teams
🎁 Benefits
- Equity
- 401(k) with 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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