The company is seeking to leverage machine learning and AI to detect and analyze emerging threats and build the next generation of intelligent defense systems.
Requirements
- Proficiency in one or more programming languages (e.g., Python, Go, C++)
- Strong understanding of model development, data preprocessing, and deployment
- Experience in reverse engineering using tools like IDA Pro, Ghidra, x64dbg, etc
- Experience applying Generative AI, Large Language Models (LLMs), and modern machine learning techniques to solve complex security problems
- Experience in the complete software development lifecycle
Responsibilities
- AI-Driven Detection & Automation: Lead end-to-end machine learning projects for threat detection. This encompasses defining the model architecture, sourcing and preparing data, building and managing training pipelines, deploying models into production, and monitoring their performance.
- 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.
- Research & Publication: 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 in security.
Other
- BS/MS/PhD degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience
- 4+ years of experience in a technical security role
- Collaboration & Communication: Work closely with cross-functional teams, including security researchers, engineers and product teams, to integrate your findings in reversing to product PoC and threat research
