AI Security Researcher

Shape the Future of Cybersecurity with Us

Are you driven by deep curiosity, bold innovation, and the desire to transform cutting-edge AI research into real-world cybersecurity impact?

Join Cynet, an established yet rapidly growing cybersecurity startup, where you’ll help build next-generation AI-powered security products from the ground up. You’ll be part of a small, elite, cross-disciplinary team working closely with security researchers, R&D engineers, data engineers, and product leaders.

Here, you’re not just joining a company, you’re stepping into a place where you can envision, build, and deploy foundational AI technologies that protect organizations worldwide. You will have the rare opportunity to drive innovation end-to-end, shape our future technology, and create AI systems that make a real difference in defending against modern cyber threats.

This is a role for someone who wants to put their soul into their craft, someone hungry to learn fast, experiment boldly, and turn ambitious ideas into production-ready AI solutions.

In this unique hybrid role spanning data science and cybersecurity research, you will:

• 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-type 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.

We’re looking for an experienced, innovative technical leader with deep security research expertise and strong data foundations:

• 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.

Preferred / Nice to Have

• Certifications or academic background in Data Science / Machine Learning / AI.
• Experience with ML frameworks and experimentation environments.
• Background in offensive research or deep endpoint security.
• Experience with generative models, agentic reasoning, or building LLM-based AI systems.
• Familiarity with cloud tools, and MLOps practices.