Research fraud and abuse techniques, analyze telemetry, and develop production-ready signals and detection mechanisms that improve model performance and protect customers across browser and mobile environments.
Detection Researcher (Coding Focused)
📜 Description
- Research detection bypass techniques, including rooting, hooking, and runtime tampering.
- Reverse-engineer attack and evasion tools, documenting findings and attack vectors.
- Design, prototype, and implement detection techniques and algorithms across operating systems.
- Develop and improve internal analysis, triage, and detection automation tools.
- Conduct penetration testing and adversary emulation to validate security features.
- Review detection-related code and contribute to technical reviews and team research.
🛠️ Requirements
- Proven ability to collaborate effectively within a team environment, including forming and leading focused sub-groups to deliver specific project features or research objectives.
- Proficiency in reverse engineering using tools such as IDA Pro, Ghidra, or equivalent, including experience writing scripts, leveraging their SDKs, and isolating and reporting technical issues.
- Solid programming experience in C, C++, Python and Java, with the ability to produce efficient, maintainable, and secure code.
- Good knowledge of the ELF and MachO file formats and a general good understanding on how to consult the official documentation.
- Familiarity with the LLVM framework is considered a plus.
- Knowledge of code obfuscation and de-obfuscation techniques, along with awareness of community tools and methodologies in this area, is a valuable asset.
Full job description
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