Machine Learning Researcher

Seize the unique opportunity to join our leading research team, renowned for its discoveries of critical system vulnerabilities, exploits, malware campaigns, and techniques. This role specifically focuses on the intersection between machine learning and security research, allowing you to conduct cutting-edge offensive and defensive research, and spearhead the creation of innovative capabilities for our endpoint security platform. Your contributions will empower our customers and incident response teams to stay ahead of the threat landscape.

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