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Join our global team of elite ethical hackers, working with both Check Point and non-Check Point customers across industries worldwide. Collaborate with Check Points research and Incident Response teams to uncover cutting-edge cyber threats, gaining exposure to the most advanced security challenges in the field.

Key Responsibilities
Conduct penetration testing on applications and network environments to identify vulnerabilities and security gaps.
Develop and document testing plans and penetration test reports with clear findings and recommendations.
Perform reconnaissance and network surveys to assess target environments.
Research security tools, exploits, and emerging threats, contributing to blogs and knowledge-sharing initiatives.
Analyze vulnerabilities, exploit weaknesses, and escalate access where applicable.
Assist in malware analysis and breach investigations to support incident response efforts.
Stay up to date with the latest attack techniques, tools, countermeasures, and technologies.
Mentor new team members and contribute to the development of tools, templates, and methodologies for penetration testing.

We are looking for a strong, hands-on Data Scientist to join our Data Loss Prevention team.

In this role, you will join an R&D team that researches, designs, and develops Check Points data loss prevention cloud services, providing state-of-the-art AI-based data loss prevention solutions on a global scale.

Check Point's data loss prevention solution is a platform used by all Check Point products, including Network Security, Email Security, SASE, Endpoint, SaaS, and Cloud Security.

In today's AI-driven world, data is an invaluable asset, and safeguarding it is paramount.

This role offers a unique opportunity to leverage extensive data collections and deliver transformative results in the Data Loss Prevention domain.

Key Responsibilities


Join the research and development of new innovative capabilities for data loss prevention, involving advanced AI and algorithms.
Quickly iterate on design approaches based on data-driven research and user feedback.
Design and develop novel data-driven solutions that have the potential to deliver game-changing results involving advanced AI and algorithms.
Utilize Natural Language Processing (NLP) and large language models to enhance data loss prevention capabilities.
Work on web content categorization as part of the broader scope of data protection.
Collaborate with Cyber Researchers, Analysts, Fellow programmers, and Data Scientists to deliver machine learning and analytics solutions.
Push the solutions all the way to large-scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.