AI/ML Researcher (m/f/n)

Staň sa súčasťou tímu vizionárov Vytvárajme spolu budúcnosť kybernetickej bezpečnosti

Pracovná náplň

You will become part of the Incident Creator and AI Research team within the Technology Division. The team focuses on detecting malicious activity, combining correlation rules with machine learning models to evaluate potential security incidents from terabytes of behavioral data. Beyond detection, the team builds incident-handling tooling for security operators and develops automation, including potential AI SOC.

As an AI Researcher, you explore, evaluate, and apply AI/ML methods to real-world cybersecurity problems — running experiments, building prototypes, and working with behavioral data. You work alongside senior researchers, gradually building independence on a clear path to becoming an experienced researcher.

About the Role

• Explore and evaluate AI/ML methods for real-world cybersecurity problems — running experiments, analyzing results, and comparing approaches.
• Build and test prototypes using behavioral data, identifying what brings real value in cybersecurity.
• Apply existing models and approaches to threat detection, learning which methods work for which problems.
• Work alongside senior researchers who guide your work while you gradually build independence and ownership.
• Research novel architectures and approaches specific to the cybersecurity domain — contributing to work that pushes beyond applying existing models.

Odmeňovanie

From 2 400 EUR/month The final basic wage component can be increased accordingly to individual skills and experience of the selected candidate. Performance bonus 2 times per year up to 10% of the basic salary paid for the evaluation period (usually 6 months).

Zmluvný typ

full-time

Požiadavky

• University degree (Master's or higher) in Mathematics, Statistics, Machine Learning, Data Science, or a related technical field.
• Practical experience with machine learning — internships, professional work, academic research, or personal projects.
• Proficiency in Python at a prototype level — able to build and test AI/ML models.
• Foundational understanding of machine learning methods — knowing which models fit which problems and how to evaluate approaches.
• Strong drive for continuous learning and staying current with state-of-the-art research.

Preferované

• Basic understanding of computer and network security.
• Experience with Big Data technologies.