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Machine Learning Engineer for Innovation Labs

Date:  Jul 29, 2022

Israel, Petach Tikva

Job Category: 
Department:  Product & Technology

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.


What will you do:

The Innovation Lab is tasked with the mission of creating Cyberark’s next generation of products that address our customers’ most critical security needs. Our team, comprised of a mix of highly skilled software engineers, cyber security experts and data scientists, is committed to developing cutting edge security technologies while maintaining a delivery-oriented mindset in a fast-moving startup environment.

From ideation, through research and development, and all the way to serving Cyberark’s customers at production, every team member’s contribution is highly impactful, and we are now looking for an outstanding machine learning engineer to join us and help take our solutions’ ML capabilities to the next level.

  • Work with cross functional stakeholders to translate business needs into analytics questions and algorithmic solutions
  • Design and execute systematic data analysis experiments, interpret the results and communicate them effectively
  • Collaborate with cyber security experts and innovation teams to plan and execute complete end-to-end ML research
  • Collaborate with development teams to bring ML solutions to production


What you need to succeed:

  • 3+ years of hands-on industry experience in developing Machine Learning algorithms
  • MSc in a quantitative field (or equivalent practical experience), specializing in Machine Learning
  • In depth understanding of various Machine Learning paradigms and techniques
  • Critical thinker with excellent quantitative skills
  • Able to design and execute data-driven experiments, and derive insights from the results
  • Hands-on experience in Python, including in writing efficient production code
  • Team player, self-motivated and delivery oriented


How will you stand out from the crowd:

  • PhD in a quantitative field
  • Hands-on experience with cloud environment
  • Background in cyber security
  • Familiarity with CI/CD tools


To learn more about CyberArk, visit, read the CyberArk blogs or follow on Twitter via @CyberArkLinkedIn or Facebook.



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