Android Security Research Team Lead

Alice is looking for an Android Security Research Team Leader to manage a team of super-talented malware researchers and reverse engineers. Our teams help top-level companies improve their security mechanisms using our insights on the latest malware trends, adversarial shifts, and new techniques. Combining intelligence, sophisticated forensics, and data science helps us catch the most relevant and up-to-date threats and threat actors. What will you do? Lead and mentor a team of security researchers across multiple projects Own long-term malware and security research of a variety of Android frameworks, technologies, and domains Detect large-scale malware campaigns and help bring their operations down Review and enhance your team's research reports and code Collaborate with other teams throughout the organization This role is a management position with 40% hands-on technical work Find the bad guys - take them down

Requirements: 4+ years of experience in malware research, reverse engineering, vulnerability research, application security, or Android penetration testing 2-3 years of leadership experience, including a proven track record of mentoring security researchers and building high-performing, scalable teams in complex threat environments. Positive, proactive mindset with the ability to operate in a fast-paced, multitasking environment Creative and analytical thinker with strong problem-solving abilities Excellent verbal and written communication skills in English Hands-on experience with static analysis tools (e.g., IDA, Ghidra) Hands-on experience with dynamic analysis and instrumentation tools (e.g., Frida, GDB, LLDB, x64dbg/x86dbg) Proven ability to analyze compiled binaries and complex malware using both static and dynamic approaches Nice to have Strong understanding of Android internals and mobile security mechanisms Experience analyzing and classifying malware at scale Familiarity with detection and classification frameworks (MITRE ATT&CK, YARA) Experience applying AI/ML or Agentic AI techniques to reverse engineering, malware analysis, or security research workflows B.Sc. in Computer Science, Electrical Engineering, or a related field