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Staff AI Security Researcher

SentinelOne· Engineering
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RemoteFull-timePosted 3w ago

About the role

Staff AI Security Researcher at SentinelOne focused on leading efforts to identify and understand security risks unique to AI systems, translating findings into detections and safeguards, and helping build agentic detection and response capabilities.

Responsibilities

  • Conduct advanced research to identify vulnerabilities within AI (LLMs, SLMs) models, agentic systems and their infrastructure, including prompt injection, jailbreaking, data exfiltration, and misuse vectors.
  • Build threat models for emerging AI capabilities and deployment surfaces (agents, tool use, multimodal systems).
  • Innovate and design novel methodologies and automated tools to systematically and continuously probe AI security mechanisms at scale.
  • Partner with engineering and product teams to translate research findings into our Agentic Detection and Response offering.
  • Stay informed on the latest academic, industry and threat landscape trends on adversarial ML, agentic and AI security.
  • Mentor other researchers and engineers and help grow the team's technical capabilities.
  • Publish research findings internally and externally through papers, blog posts, or industry conferences.

Qualifications

  • 6+ years of experience in offensive research, red teaming or pentesting, with focus on AppSec or Identity.
  • Hands-on experience with adversarial techniques against AI (LLMs, SLMs) and ML systems - prompt injection, jailbreaking, membership inference, model extraction, data poisoning, etc.
  • Good understanding of identity/access management (IAM) protocols and tools.
  • Familiarity with agentic attack taxonomies such as OWASP Top 10 for LLMs and MITRE ATLAS.
  • Proficiency in programming and scripting languages (Python, JavaScript and Java) and Cloud environments (AWS, GCP, Azure, Kubernetes).
  • Technical writing & content development skills.
  • Publication record or demonstrable body of work in security research, adversarial ML, or AI safety (papers, disclosed vulnerabilities, open-source tools, etc.) - advantage.
  • Experience in leading cross-functional technical initiatives - advantage.

Skills

Required:Offensive security researchAdversarial AI techniquesIAM knowledgeAgentic attack taxonomiesProgramming / scriptingTechnical writing
Nice to have:Publication track recordCross-functional leadership

Benefits

  • Equity & Rewards: Restricted Stock Units (RSUs); Employee Stock Purchase Plan (ESPP)
  • Time Off & Wellbeing: Competitive leave benefits; Gender-neutral parental leave; Employee Assistant Program; Workout sessions and a Wellness App
  • Insurance & Financial Security: Medical and insurance benefits; Pension; Employee Assistance Program (EAP)
  • Work Perks & Flexibility: Global home office allowance; Mobile phone reimbursement; Study Fund
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About SentinelOne

AI-Powered Enterprise Cybersecurity Platform

SentinelOne unifies AI-powered endpoint, cloud, identity, and data protection—enhanced by our Security Data Lake for seamless and efficient cybersecurity.

CybersecurityAI SecurityEndpoint SecurityCloud SecurityAI-SIEMIdentity SecurityEDRXDR
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