AssemblyCyber SecurityPythonC++CRAIMLLLMLarge Language ModelsRAGCollaborationRemote Work
About this role
Role Overview
Analyze and dissect malware campaigns and attacker tooling to extract actionable intelligence and inform detection strategy.
Track emerging threats, vulnerability disclosures, and attacker techniques; translate findings into detection improvements and internal threat intelligence reports.
Work closely with fellow researchers to build shared understanding of current threat landscapes and feed insights into product and detection roadmaps.
Research and develop new detection methods, including YARA rules and AI assisted tools
Investigate evasion techniques and contribute to anti-evasion controls in our analysis pipeline.
Evaluate open-source and third-party tools for potential integration into the ReversingLabs platform.
Research and develop AI-powered capabilities to transform security workflows, with a focus on scaling human expertise through advanced automation and reasoning models.
Develop and evaluate pipelines that streamline complex analysis tasks and accelerate the synthesis of technical threat data into actionable outcomes.
Advance the use of AI for detection augmentation, leveraging generative and discriminative models to enhance pattern recognition and threat categorization at scale.
Requirements
Core Security Experience
6–8 years of experience in cybersecurity, with a strong foundation in malware analysis and threat research.
Hands-on expertise in static and dynamic analysis techniques; familiarity with tools such as IDA Pro, OllyDbg, Wireshark, and YARA.
Solid understanding of network protocols, OS internals, and attacker tradecraft.
Programming proficiency in Python; experience with C/C++ or Assembly is a plus.
Experience with virtualization, sandboxing, and automated analysis environments.
Research & Collaboration
Ability to self-direct research, synthesize complex findings, and communicate them clearly to technical and non-technical audiences.
Collaborative mindset, comfortable working across engineering, product, and research functions.
Strong analytical and problem-solving skills; ability to reason about signal quality and detection effectiveness
AI & Automation Skills (Clearly Preferred, Not Required)
Familiarity with large language models (LLMs) and their application in security contexts, e.g., for text analysis, code understanding, or workflow automation.
Experience building or evaluating automation frameworks or LLM-powered workflows
Understanding of prompt engineering, retrieval-augmented generation (RAG), or fine-tuning concepts as applied to domain-specific tasks.
Prior work on AI-assisted detection or ML-based classifiers in a security product context is a strong differentiator.
Education & Certifications
Bachelor's degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience.
Relevant certifications (OSCP, GREM, CISSP) are desirable but not required.
Tech Stack
Assembly
Cyber Security
Python
Benefits
On-site, hybrid, and remote work as options (paid accommodation and transportation to Zagreb during onboarding for remote employees), and flexible working hours
Generous compensation and a bonus system based on annual performance
Permanent contract with a fast-growing global company with Fortune 500 and government agencies as clients
Opportunity to work on innovative solutions in malware analysis & software supply chain security, crafted in our very own Croatian R&D center
Great career advancement opportunities – clear goals and internal promotions
Company library and the possibility of ordering books of choice via Amazon
Employee referral bonus program: EUR 1,060 net for junior positions, EUR 2,123 net for mid to senior positions, and EUR 2,654 net for principal/managerial positions
Multisport card, annual health checkup, newborn child allowance, rent-cost, and 3rd pillar pension benefits
Wellness Weekends – quarterly, company-wide three-day weekend, starting with a company-paid Friday off for all employees
Fully covered car garage in Radnička cesta for all employees