Security Researcher

As a Senior Security Researcher, you will design and conduct technical research on LLM Security. You will collaborate with internal engineering, product, and ML teams to integrate innovative security capabilities into our platform, and research emerging cybersecurity threats and trends, influencing the company’s strategic direction with your expertise and insights in a dynamic environment.

Responsibilities:

• Design and lead technical security research in the field of LLMs
• Conduct in-depth research on AI-specific security threats, including adversarial attacks, model tampering, and data privacy issues.
• Collaborate with cross-functional teams to integrate AI security measures into existing and new products.
• Work with the research team and ML experts on monitoring the latest developments and industry best practices on red-teaming and advise on the long-term strategy.
• Develop research tools and frameworks to perform automatic analysis of LLMs and security products
• Set the research directions and strategies to make our AI systems safer, more aligned, and more robust.
• Write, conduct, and publish papers\ blogs on AI Security \ LLM.
• Work closely with other internal engineering and ML teams to integrate new capabilities into our platform and guide cross-product architectural decisions
• Influence the company's direction with innovative ideas and work closely with the product team and management in a fast-paced environment.
  
  

• 5+ years of experience in security research e.g. AI\ Machine Learning, AppSec \ cloud security\ Supply Chain\ Red-Teaming - A Must
• Experience in LLM (Large Language Models) Adversarial attacks or Jail-breaking methods- Big Plus
• Strong coding skills in Python, with the ability to develop end-to-end POC for new security capabilities
• Deep knowledge in security mechanisms, products, and detection techniques
• Excellent communication skills & passion for research, vulnerabilities, and AI.
• Excellent proficiency in spoken and written Hebrew and English.
  
  

• Demonstrated experience in conducting AI security research.
• Established track record of publishing papers or presenting at esteemed conferences and forums.
• Background in collaborating with Machine Learning and Data Science teams.
• Proficiency with SQL/NOSQL Databases.