AI Network Security Researcher

At Dream, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; It’s a Dream job. Dream is where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Let’s build something extraordinary together.

Dream's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our Dream's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.

At Dream, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.

The Dream Job:

We’re looking for a hands-on AI Cyber Intelligence Engineer - in the domain of network attack surface. Someone who lives and breathes network security, loves exploring how attackers move through real environments, and is excited to shape how AI can automate and extend that process.

In this role, you’ll analyse real-world environments, identify potential attack vectors, and work closely with our AI engineering teams to translate your domain expertise into actionable, intelligent workflows. You’ll play a key role in guiding how our platform “learns” to think and act like a top-tier security analyst.

The Dream-Maker Responsibilities:

• Analyse complex network environments, configurations, and security controls to map topologies and identify weaknesses or lateral movement paths.
• Research and model attacker behaviour and detection strategies, guiding how AI systems reason about threat scenarios.
• Collaborate with AI engineers to shape agentic flows - defining the logic, prompts, and reasoning patterns that replicate expert investigative thinking.
• Conduct hands-on assessments of enterprise networks to validate and improve automated detection and response capabilities.
• Stay current on evolving attack tactics, network security technologies, and AI-driven threat detection trends.
• Act as a security subject matter expert for cross-functional engineering teams.
  
  

• 5+ years of experience in cybersecurity research, threat analysis, or network security engineering.
• Deep understanding of networking technologies, protocols, and security principles.
• Strong background in network-based attacks, lateral movement, and detection techniques.
• Experience with analysing traffic, packet captures, and network topologies.
• Curiosity and understanding of modern AI techniques -or strong motivation to learn and work closely with AI experts.
• Excellent communication and collaboration skills; comfortable working across disciplines.