Senior AI Security Researcher @ Radware
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About Radware
Radware is a global leader in cybersecurity and application delivery solutions for physical, cloud, and software defined data centers. With nearly 30 years of experience, we protect over 12,500 organizations worldwide from advanced cyber threats.
The Role: Senior AI Security Researcher
Join Radware's CTO Office and lead groundbreaking research projects. You will focus on developing advanced AI capabilities to detect and mitigate cyber-attacks, both on AI applications and traditional systems.
What You Will Do
- Lead innovative research initiatives in AI, application, and network security.
- Design and develop AI agents to enhance threat detection and mitigation.
- Create novel solutions to counter emerging threats in LLMs, autonomous agents, and legacy systems.
- Drive projects from concept to production-ready implementation.
- Collaborate with cross-functional teams to integrate capabilities into our product portfolio.
What You Need
- M.Sc. in Computer Science or a related field.
- Minimum 3 years of hands-on security R&D experience focusing on AI, application, network, or cloud security.
- Strong Python programming skills aimed at production-level code.
- Ability to work independently and collaboratively in a team environment.
- A self-starter attitude with excellent communication skills across levels.
Why Join Radware?
Radware has been recognized globally as one of the World’s Best Places to Work. With award-winning cybersecurity solutions and a commitment to diversity and innovation, you'll be part of a team that is on the forefront of protecting critical assets.
Key Skills/Competency
Senior AI Security Researcher, cybersecurity, research, AI, Python, innovation, threat detection, network security, application security, production implementation
How to Get Hired at Radware
🎯 Tips for Getting Hired
- Research Radware's mission: Review their cybersecurity solutions and global impact.
- Customize your resume: Highlight AI, security, and Python expertise.
- Tailor your application: Match job responsibilities with past projects.
- Prepare for technical interviews: Focus on AI threat detection and production code.
- Engage on LinkedIn: Network with current employees for insights.