The company is looking to hire a security research engineer to deconstruct complex threats and build the next generation of detection systems using generative AI, LLMs, and agentic systems to automate and scale detection and analysis capabilities.
Requirements
- Extensive, hands-on experience in reverse engineering using tools like IDA Pro, Ghidra, x64dbg, etc.
- Proficiency in one or more programming languages (e.g., Python, Go, C++).
- Proven experience applying Generative AI, Large Language Models (LLMs), and modern machine learning techniques to solve complex security problem is a plus
- A proven track of top tier publications in cybersecurity related areas is a plus.
Responsibilities
- Perform in-depth static and dynamic analysis of malicious code by reverse engineering complex binaries (x86/x64, ARM, etc.).
- Uncover novel malware techniques, extract indicators of compromise (IOCs), and develop robust signatures and behavioral detections.
- Lead end-to-end machine learning projects for threat detection.
- Design, build, and deploy innovative security solutions leveraging Generative AI and agentic systems.
- Develop intelligent agents and workflows to automate threat hunting, accelerate malware analysis, and streamline threat intelligence processes
- Disseminate cutting-edge research findings and contribute to the security community by publishing results in technical blogs, industry white papers, and academic papers, particularly on topics related to malware analysis and AI for security
- Work closely with cross-functional teams, including other security services: threat prevention, internet security and IoT security, endpoint security to integrate and deliver sustainable and quality coverage and defense
Other
- 6+ years of experience in a technical security role, with a strong emphasis on malware analysis, exploit development, or threat research.
