🛠 Tech Stack

💼 About This Role

You'll design and build AI-powered detection systems that stop phishing, cryptomining, and LLM abuse on a platform used by millions. Your work directly protects users and ensures platform integrity in an adversarial environment. This role is unique because you'll apply LLMs as a defensive tool against cutting-edge attack vectors like prompt injection.

🎯 What You'll Do

• Design and implement **LLM guardrails** for AI-generated code
• Build **AI-powered detection systems** using LLMs for abuse classification
• Operate systems that detect phishing, cryptomining, and account takeover
• Own the full abuse response lifecycle from detection to enforcement

📋 Requirements

• 8+ years in security engineering, anti-abuse, or fraud detection
• Strong programming in Python or TypeScript
• Experience with SQL and data analysis at scale (BigQuery, Snowflake)
• Experience building ML/LLM classifiers for security or abuse detection

✨ Nice to Have

• Experience at a platform company with user-generated content or compute abuse
• Background in fraud detection or payment abuse
• Knowledge of container security or cloud infrastructure (GCP)

🎁 Benefits & Perks

• 💰 Competitive Salary & Equity
• ⚕️ Health, Dental, Vision and Life Insurance
• 🚼 Paid Parental, Medical, Caregiver Leave
• 🏝️ Flexible Time Off + Holidays
• 📱 Monthly Wellness Stipend

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3On-site Interviews· 4 hours