Remote
•
Today
The Leidos Cyber Accelerator is seeking a hands-on applied researcher to design, execute, and automate real-world offensive security assessments while advancing ML-driven approaches to penetration testing. You will perform end-to-end automation of pentesting/red teaming (scoping exploitation post-exploitation reporting), build repeatable tooling and test harnesses, and explore machine learning and reinforcement learning (RL) techniques for improving attack planning, prioritization, and autonomou
Full-time
USD 87,100.00 - 157,450.00 per year












