Security Researcher

June 25, 2026
Application ends: September 24, 2026
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Job Description

What Makes You a Great Fit

  • 3+ years of hands-on experience in security research, mobile security, browser research, fraud research, detection research, reverse engineering, or a related technical role.
  • Experience with web browsers, mobile browsers, WebViews, browser APIs, JavaScript runtime behavior, browser automation, fingerprinting, client-side web security, and low-level browser technologies.
  • Familiarity with the architecture or codebase of modern open-source browsers and rendering engines, such as Chromium, WebKit, Blink, or Gecko, with the ability to reason about how browser internals can expose new security and fraud signals.
  • Experience with native Android and/or iOS applications, mobile OS behavior, app instrumentation, emulators, device spoofing, mobile automation, mobile security, and low-level platform APIs.
  • Attacker mindset and practical understanding of how malicious actors attempt to bypass detection using automation, AI agents, spoofing, and anti-detection techniques.
  • Ability to identify subtle technical signals and turn them into practical detection or data collection opportunities.
  • Experience designing technical experiments and validating research hypotheses.
  • Experience with one or more SDK development languages and environments, such as TypeScript/JavaScript for web, Kotlin/Java for Android, or Swift/Objective-C for iOS, with the ability to understand implementation constraints and collaborate effectively with SDK engineering teams.
  • Scripting ability, preferably in Python, for building research tools, automation, and analysis workflows.
  • Ability to work independently on ambiguous problems and communicate findings clearly to engineering, product, and research stakeholders.

Advantages

  • Experience with Web SDKs, Mobile SDKs, client-side telemetry, device intelligence, behavioral signals, AI agent detection, or fraud detection products.
  • Experience researching bots, credential stuffing, scraping, headless browsers, AI-assisted automation, app cloning, SDK abuse, phishing kits, malware, or
  • anti-detection frameworks.
  • Experience with reverse engineering Android or iOS applications.
  • Familiarity with detection quality measurement, feature evaluation, false-positive analysis, production monitoring, or machine learning concepts.
  • Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or a related field— or equivalent hands-on experience.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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