Browser Security Research Engineer — Chrome Extension Detection

We are developing a JavaScript system that identifies installed Chrome extensions from signals observable by an ordinary webpage. The system will run in a controlled browser-testing environment against a predefined extension collection. We are seeking a researcher with practical experience in Chrome extension internals, JavaScript reverse engineering, browser fingerprinting, and automated browser testing. The work includes: - Reviewing extension source code to identify observable behavior. - Developing and testing detection hypotheses involving DOM changes, injected scripts, messaging, resource behavior, and other browser-visible effects. - Building reproducible experiments using Python, Selenium or Playwright, and Linux/Docker. - Testing clean profiles, individual extensions, and combinations of extensions. - Measuring false positives, false negatives, runtime, and performance using our supplied evaluation protocol. - Delivering source code, automated tests, experiment logs, and technical documentation. Detection must work within normal webpage permissions and a strict execution budget. Fixed installation identifiers and privileged browser access cannot be assumed. The first milestone is a paid feasibility study. Subsequent implementation milestones will depend on reproducible results. Please include a relevant project, explain your personal contribution, and describe your first experiment for this problem. The client handles downstream product integration. Commercial deployment details are confidential.