AI Security Researcher

AI Security Researcher

Join Astelia, a cybersecurity startup building the next generation of Vulnerability Management and Exposure Management.

We’re looking for a Senior AI Researcher (Cybersecurity) to join our founding team and build AI-powered product capabilities that enable unprecedented effectiveness in vulnerability and asset management.

In this role, you’ll work hands-on with large-scale security data (assets, vulnerabilities, exposure context) and design production-grade AI systems that turn messy, complex information into clear, actionable insights.

Own the end-to-end AI lifecycle: from feature ideation and initial research, through data exploration and model development, to delivering reliable, production-grade capabilities. Validate solutions in controlled testing and continuously monitor, evaluate, and improve performance in production.

If you love combining real security problems with applied data science and AI-driven problem solving, and want to have real impact in a rapidly evolving product, we’d love to meet you.

LI-DNP

Requirements

• Academic background: B.Sc. in an engineering or quantitative scientific field, with coursework or focus in data science, machine learning, or information systems (or equivalent experience).

• Experience: 5+ years of hands-on experience in applied AI research, data engineering, data science, or applied ML – ideally with security-related domains.

• Strong Python & Data Pipelines: Proven ability to build robust pipelines that handle large-scale, real-world data.

• LLM Systems in Production: Experience building and shipping real product features powered by LLMs, taking solutions from prototype to production, owning reliability through evaluation and monitoring.

• Cybersecurity Domain Knowledge: Familiarity with core security concepts, including asset inventory and context, vulnerability management and risk prioritization, exposure/attack-surface analysis, network and traffic analysis, and practical remediation workflows in collaboration with security teams.

• Experiments & Workflow Design: Experience designing and running experiments and building reproducible end-to-end data workflows to validate new product features and iterate based on measurable results.

• Problem Solving Skills: Strong analytical and critical-thinking skills, with the ability to break down ambiguous problems, apply sound algorithmic reasoning, and develop creative, pragmatic solutions.

• Startup Mindset: High ownership, strong collaboration, and the ability to execute quickly and effectively in a fast-paced, evolving environment.

• Advantage

• Experience working with security datasets and real-world enterprise environments.

• Experience building structured extraction and normalization systems using LLMs.

• Strong product intuition: ability to turn AI capabilities into features users trust and rely on.

• Experience designing AI monitoring systems (quality drift, and evaluation pipelines).