Related skills
bigquery sql python go typescript📋 Description
- Design LLM guardrails to detect abuse in AI-generated code and agent interactions
- Build AI-powered detection systems using LLMs to identify threats and automate responses
- Build and operate abuse detection for phishing, cryptomining, account takeover, fraud
- Design automated responses to enforce platform policies without manual intervention
- Own the full abuse response lifecycle with Support and Legal
- Analyze attack patterns using BigQuery and Hex to derive new detection rules
🎯 Requirements
- 4+ years in security engineering, anti-abuse, trust & safety, or fraud detection
- Strong programming in Python and/or TypeScript
- 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
- 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 and equity
- 401(k) program
- Health, dental, vision and life insurance
- Short and long-term disability
- Paid parental, medical, caregiver leave
- Commuter benefits
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