Who we are:

CyberArk (NASDAQ: CYBR ) is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets.

CyberArk Labs are seeking a self-motivated Exact Science student with a solid grasp of algorithms and coding to contribute to an innovative Offensive AI Research & Development initiative.

What will you do ?

• Develop AI defense solutions .
• Implement a versatile Abstraction Layer for interaction with various LLMs .
• Implement and optimize ML-related algorithms.
• Integrate different components of the solution.
• Fine-tune LLMs using adversarial datasets to enhance robustness
  
  
  

What you need to succeed:

• Cum Laude computer-science/engineering/physics/mathematics student with 2-3 semesters left.
• Coding experience in Python
• A portfolio demonstrating coding projects.
• Offensive perspective
  
  
  

What will help you to stand out?

• Hands-on experience with neural network training.
• Experience with LLMs and ML basic concepts
  
  
  

To learn more about CyberArk, visit https://www.cyberark.com , read the CyberArk blogs or follow on Twitter via @CyberArk , LinkedIn or Facebook .