🛠 Tech Stack

💼 About This Role

You'll design and deploy machine learning models at the edge to detect anomalies and block sophisticated attacks in real time. Working with red teamers, you'll transform attack data into proactive defense for billions of transactions.

🎯 What You'll Do

• Design ML models for anomaly detection and bot mitigation
• Deploy low-latency inference models at the edge
• Collaborate with offensive engineers to generate attack datasets
• Build data pipelines for continuous model retraining

📋 Requirements

• Python and SQL proficiency
• Experience deploying ML models in production with low-latency
• Strong understanding of web security and HTTP protocols
• Experience with edge computing platforms (Cloudflare, Fastly, AWS Edge)

✨ Nice to Have

• Direct experience with Cloudflare Workers or Workers AI
• Background in cybersecurity (IDS/IPS, threat hunting)
• Open-source contributions or published security research

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3On-site Interview· 90 min
4. 4Offer· 15 min