Company Description
At Check Point, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. You’ll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
We’re proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets Check Point apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If you’re excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
Job Description
We are looking for an exceptional researcher at the intersection of artificial intelligence and cybersecurity. This role is intended for someone who combines deep security expertise with a practical understanding of modern AI systems and the curiosity to explore how they can be attacked, abused, and defended.
Key Responsibilities
- Research vulnerabilities, attack techniques, and emerging security risks in AI models, agents, applications, and supporting infrastructure.
- Develop innovative attacks, proofs of concept, evaluation methods, and defensive solutions.
- Analyze how model behavior changes across problem domains, task structures, prompts, tools, resources, harnesses, and model architectures.
- Translate research findings into clear security requirements, technical concepts, publications, and practical protections.
- Present original research at leading international cybersecurity conferences.
- Maintain a strong understanding of developments across the AI and cybersecurity landscapes.
- Collaborate with security researchers, AI engineers, product teams, and other stakeholders to turn research into measurable impact.
Qualifications
- Strong cybersecurity background in reverse engineering, vulnerability research, cryptanalysis, malware research, or a similar advanced discipline.
- Passion for AI and up-to-date knowledge of leading models, technologies, organizations, and emerging capabilities.
- Solid understanding of modern AI concepts, including transformers, attention, RoPE, gradient descent, fine-tuning, RLHF, RLVR, inference, and agentic systems.
- Ability to independently identify valuable research questions, design experiments, build proofs of concept, and validate findings.
- Strong programming and rapid-prototyping skills.
- Excellent writing, communication, and presentation skills, including the ability to clearly define requirements and introduce new technical concepts.
- Ability and motivation to present original research at top-tier international cybersecurity conferences.
Advantages
- Experience researching AI security, LLM vulnerabilities, prompt injection, model behavior, AI agents, or adversarial machine learning.
- Experience developing or evaluating AI-powered security systems.
- A record of security publications, vulnerability disclosures, or presentations at leading security conferences.
- Experience transforming research findings into production-grade security capabilities.
- Familiarity with AI evaluation frameworks, inference infrastructure, model internals, and agent orchestration.
