AI Security Researcher at Cynet

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cybersecurity Research, Data Science, AI Techniques, Generative AI, C++, Python, Windows Internals, Static Analysis, Dynamic Analysis, Reverse Engineering, Threat Detection, Machine Learning, SQL, Spark, Feature Engineering, Malware Analysis

Industry

Computer and Network Security

Description

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. What will you do 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. Requirements 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. You are null About Us null

Responsibilities

You will drive innovation by combining deep security research with modern AI techniques to build impactful security capabilities. Additionally, you will serve as the cybersecurity expert within the Data Science team, guiding threat modeling and security-driven AI design decisions.