ML Security Researcher

Job Description

If you join our team, you will have the opportunity to collaborate closely with our research and development teams to enhance our FortiEDR solution, ensuring that it offers robust protection against emerging cyber threats based on your data modeling and statistical analysis of large amounts of data from our customers. You will enjoy the opportunity to leverage the vast Fortinet data lakes to tackle multiple security questions, including conducting in-depth investigations of real-world attacks, breaking apart big questions, and applying models by utilizing Data and Machine learning techniques. Your role will involve leading and developing comprehensive proof of concepts (POCs) and models for various exploits and malware and creating effective defense mechanisms against these threats.

Requirements

At least 5 years of security research experience

Excellent/Deep knowledge of probability, statistical, and machine learning models with a proven track record in choosing, modifying, and applying advanced algorithms to address practical problems - must

Creative thinker and a team player

Proven experience in running end-to-end research POCs from ideas to customer solutions, including the design, execution, analysis, and conclusions of your research

Good understanding of attack methods, tools, and techniques

Experience with Python

Experience in malware research and/or exploit development – advantage

Experience with EDR/XDR/AV product RND – advantage

Experience in reverse engineering – advantage

Knowledge of Windows, Linux or MacOS internals – advantage

Familiarity with Elastic Stack or databases – advantage