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SentinelOne

Builds security software for enterprise systems

Senior Security Researcher - AI Detection

Security Operations & Incident ResponseUpdated on Nov 10
Full-timeTel Aviv-Yafo, IsraelNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience in security research, threat hunting, or detection engineering, with a track record of detections deployed in production.
  • A deep understanding of the cybersecurity landscape, attack vectors, tactics, techniques, and procedures, and detection methods, especially on Windows.
  • In-depth knowledge of Windows internals and how attacker behavior appears in endpoint detection and response telemetry, including process, file, registry, and network events.
  • Ability to research and hunt over very large telemetry datasets using SQL, Kusto Query Language (KQL), Splunk, endpoint detection and response query languages, or similar tools.
  • Python software development experience, including working with data and writing production-quality code.
  • Ability to drive and own research projects end to end.
  • Interest in applying machine learning and large language models to detection, and fluency with modern artificial intelligence tools.

Responsibilities

  • Research attack techniques and tactics, techniques, and procedures and how they manifest in endpoint detection and response telemetry, and turn that research into detection hypotheses that work across millions of endpoints.
  • Design, build, own, and maintain artificial intelligence-powered detections end to end, turning detection hypotheses into production pipelines that analyze fleet-wide endpoint detection and response data, apply machine learning models and large language models to distinguish real intrusions from benign activity, and surface advanced attacks for analysts and threat hunters to triage and act on.
  • Drive the development of large language model-based agents that automate detection authoring by defining robust, correct detections and expanding agent detection coverage autonomously.
  • Analyze detection gaps and false positives with managed detection and response analysts, threat hunters, and detection engineering teams, and incorporate the findings into detections.
  • Write high-quality production Python and own the code in production.
  • Stay current with advanced persistent threats, attacker methodologies, and emerging tactics, techniques, and procedures.

Desired Qualifications

  • Hands-on experience applying machine learning or large language models to security problems.
  • Experience writing detection content, including behavioral rules, Sigma, YARA, and endpoint detection and response query languages.
  • Malware analysis, reverse engineering, or red-team experience.
  • Experience with endpoint detection and response or extended detection and response products and their telemetry.

About the Company

SentinelOne

Builds security software for enterprise systems

SentinelOne builds cybersecurity software for organizations that need to protect computers, cloud workloads, user identities and business use of AI. Its Singularity platform combines threat prevention, detection and response with shared security data so teams can monitor different parts of their environment from one console. Software agents watch activity on protected systems and can isolate threats, while cloud and identity tools extend coverage beyond employee devices. The company sells platform subscriptions and optional modules, priced mainly by protected agents, and supplies managed threat hunting and incident response services. SentinelOne was founded in 2013 and is headquartered in Mountain View, California.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Mountain View, CA
Founded
2013

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