Security Researcher

Role overview:

In this role, you will design and conduct technical research on LLM Security.

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.

Requirements:

• 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.

Nice to have:

• 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.