C

Machine Learning Engineer - Edge Security

United States
Full Remote
This Job is No Longer Active This position is no longer accepting applications

Design, train, and deploy machine learning models at the edge to detect anomalies, thwart intrusions, and block sophisticated attacks in real time. Build edge intelligence for anomaly detection, bot mitigation, and zero-day intrusion detection, deploying models at scale with ultra-low latency. Requires fluency in Python and SQL, deep ML library proficiency, production deployment experience, and strong web security knowledge.

Key Highlights
Build edge intelligence for real-time threat detection
Deploy ML models at scale with ultra-low latency
Collaborate with red teamers and security engineers
Key Responsibilities
Design and train machine learning models focused on anomaly detection, bot mitigation, and zero-day intrusion detection
Implement and optimize inference models to run efficiently at the edge, processing massive volumes of HTTP traffic with ultra-low latency
Work closely with offensive security engineers to understand attack vectors, simulate realistic threats, and generate high-quality datasets for model training
Create robust data pipelines that continuously ingest traffic logs, monitor model performance, detect concept drift, and automate retraining based on the latest threat intelligence
Technical Skills Required
Python Machine Learning SQL
Benefits & Perks
Fully remote and distributed team
Nice to Have
Direct experience with the Cloudflare ecosystem, specifically Cloudflare Workers, Cloudflare WAF, or Cloudflare Workers AI
Background in cybersecurity, such as building Intrusion Detection/Prevention Systems (IDS/IPS), threat hunting, or analyzing malware
Familiarity with payment industry security (PCI DSS, card tokenization, acquiring flows)
Contributions to open-source security/ML tools, published security research, or CTF participation

Job Description

About CloudWalk:We are not just another fintech unicorn. We are a pack of dreamers, makers, and tech enthusiasts building the future of payments. With millions of customers and a hunger for innovation, we're now expanding our neural network - literally and metaphorically.
Want the full job description? Read the complete details on LinkedIn, the original posting.
Continue on LinkedIn

This is a short excerpt. All rights to the full description belong to its original publisher.

See Jaabz jobs first on Google 1 tap · free · in AI Overviews Jaabz is on your Google Manage Preferred Sources
Keep exploring

Similar Jobs

Explore other opportunities that match your interests

Hidden company

Log in to see location

Premium

Senior Machine Learning Engineer

Log in free to see the details

Remote Work Guides

Practical guides for finding and thriving in remote roles.

Browse all articles

Subscribe to our newsletter

New visa sponsorship, relocation and remote tech jobs, delivered to your inbox.