Related skills
bigquery sql python go typescript📋 Description
- Design and implement LLM guardrails that detect abuse in AI-generated code and agent interactions
- Build AI-powered detection systems that identify malicious patterns, classify threats, and automate responses
- Build and operate abuse detection systems that identify phishing, cryptomining, account takeover, and fraud
- Design automated response mechanisms that enforce platform policies without manual intervention
- Own the full abuse lifecycle: detection, investigation, enforcement, and handling appeals with Support and Legal
- Analyze attack patterns using BigQuery and Hex, turning findings into new detection rules
🎯 Requirements
- 4+ years of experience in security engineering, anti-abuse, trust & safety, or fraud detection
- Strong programming skills in Python and/or TypeScript for building 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
- 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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