Machine Learning Engineer

📋 Description

• Design/train ML models for edge defense: anomaly, bot, and intrusion detection.
• Deploy scalable edge inference with ultra-low latency for HTTP traffic.
• Collaborate with security teams to simulate threats and create datasets.
• Build data pipelines to ingest logs, monitor models, and retrain.

🎯 Requirements

• Fluent in Python and SQL; proficient with PyTorch, TensorFlow, or scikit-learn.
• Production-ready ML: deploy models for high-throughput, low-latency workloads.
• Strong web security knowledge: HTTP, OWASP Top 10, L7 DDoS, credential stuffing.
• Experience with edge platforms (Cloudflare/Fastly/AWS Edge) and CDN/WAF.
• Solid software engineering; produce production services in Python, Rust, or TypeScript.
• Experience with cloud infra (GCP/AWS) and large-scale datasets.

🎁 Benefits

• Direct experience with Cloudflare ecosystem: Workers, WAF, or Workers AI.
• Cybersecurity background: IDS/IPS, threat hunting, or malware analysis.
• Familiarity with PCI DSS, card tokenization, acquiring flows.
• Contributions to open-source security/ML tools or CTF participation.