Security Researcher

Cynet Security

full-time

Posted on: 1/11/2026

Location Type: Hybrid

Location: Israel

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About the role

Drive innovation by combining deep security research with modern AI techniques to build impactful, customer-facing security capabilities.
Build and refine intelligent generative AI agents that drive automated cybersecurity reasoning, investigation workflows, and threat analysis.
Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end.
Engineer and implement core parser and model components in C++ and Python to seamlessly integrate into the Cynet Endpoint Agent and platform infrastructure.
Use Cynet’s ML experimentation pipelines to run experiments, optimize performance, and deliver production-ready detection models.
Serve as the cybersecurity expert within the Data Science team, guiding threat modeling, malware understanding, and security-driven AI design decisions.

5+ years of hands-on cybersecurity research experience.
Proven experience working with EDR, malware analysis, threat detection, and security tooling.
Proficiency in C, C++, and Python with strong debugging abilities.
Solid understanding of Windows internals, including low-level OS concepts.
Experience with static and dynamic analysis, reverse engineering, and real-world threat investigations.
A scientific, data-driven approach to problem-solving, from ideation through experimentation and production.
Strong understanding of statistical concepts and ML feature engineering techniques.
Experience analyzing large-scale datasets using SQL, Spark, or similar tools.

Benefits

Tip: use these terms in your resume and cover letter to boost ATS matches.

C++PythonCmachine learningfeature engineeringmalware analysisthreat detectionstatic analysisdynamic analysisreverse engineering

problem-solvingdata-driven approachcommunicationcollaborationguidance