דרושים » ניהול ביניים » Back-End Cyber security Developer

What youll do: Step into the world of cyber adversaries and become secret agent against malware. Youll investigate real attack techniques, analyze malicious behavior, and transform that knowledge into powerful detection methods that protect thousands of organizations worldwide. How youll make an impact: Your research will sit at the heart of Autonomous Breach Protection Platform. By uncovering attacker tactics, building innovative detection mechanisms, and sharing your insights, youll directly shape our products ability to stay one step ahead of evolving threats - and keep our customers safe.

Were seeking an AI Innovation Security Researcher to serve as the critical link between our AI development team and our security experts. In this role, you will:

Translate real-world security challenges into AI-driven solutions
Shape prompt strategies and model workflows for security use-cases
Contribute to AI system developmenthelp architect, prototype, and iterate on models and pipelines
Design and execute rigorous benchmarks to evaluate the performance of security-focused AI tools
Your work will power capabilities such as automated exploitability checks for SAST/SCA findings, AI-guided remediation of container vulnerabilities (e.g. Dockerfile misconfigurations, unsafe downloads), and detection/analysis of data leaks. Youll also help amplify our thought leadership by authoring blogs and delivering conference talks on cutting-edge AI-security topics.

Key Responsibilities

Research & Benchmarking

Define evaluation frameworks for AI models tackling security tasks
Build test suites for exploitability analysis (e.g. proof-of-concept generation, severity scoring)
Measure and report on model accuracy, false-positive/negative rates, and robustness
AI Collaboration & Development

Work with ML engineers to craft and refine prompt templates for security scenarios
Contribute to model architecture design, fine-tuning, and deployment workflows
Investigate model behaviors, iterate on training data, and integrate new AI architectures as needed
Security Expertise & Tooling

Apply deep knowledge of static and software composition analysis (SAST/SCA)
Analyze container build pipelines to identify vulnerability origins and remediation paths
Leverage vulnerability databases (CVE, NVD), threat modeling, and risk assessment techniques
Content Creation & Evangelism

Write technical blog posts, whitepapers, and documentation on AI-driven security solutions
Present findings at internal brown-bags and external conferences
Mentor teammates on AI security best practices