Summary
You will become part of the Incident Creator and AI Research team within the Technology Division in Bratislava. 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.Job description
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.
Essential Requirements
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.
Desirable Requirements
Basic understanding of computer and network security.
Experience with Big Data technologies.
Experience with cloud platforms (AWS, Azure).
Technologies
Python, Scikit-learn, PyTorch, TensorFlow, (My)SQL, MLflow, Git, JIRA, Confluence, Docker, Kubernetes, Jenkins
Compensation
Basic wage component (brutto): from 2400 EUR/m. (brutto)
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).
#LI-JK1 #LI-Hybrid #mid-senior
Benefits
Health & well-being- BenefitPlus
- Healthcare (check-ups/annual programs)
- Multisport card
- Travel card "električenka"
- Supplementary pension saving
- Sick days
- Marriage allowance
- Childbirth allowance
- Parental contribution
- ESET family events (Family day, St.Nicholas)
- Refreshments in the office (fruits, coffee, soft drinks)
- Let´s get together breakfast
- Activity room, quiet room
- ESET events (Žranica, Christmas party..), teambuildings
- Loyalty allowance
- Loyalty extra days off
- Loyalty cake
- Loyalty glass award
- Refer a friend
- Christmas presents
- Discounts from external providers
Primary location
BratislavaAdditional locations
Time type
Full timeSkills Required
- Master's degree or higher in Mathematics, Statistics, Machine Learning, Data Science, or 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 and evaluation techniques.
- Strong drive for continuous learning and staying current with research.
- Basic understanding of computer and network security.
- Experience with Big Data technologies.
- Experience with cloud platforms (AWS, Azure).
- Familiarity with ML frameworks and tools (Scikit-learn, PyTorch, TensorFlow, MLflow) and DevOps tooling (Git, Docker, Kubernetes, Jenkins).
- Experience with SQL / MySQL and collaboration tools (JIRA, Confluence).
ESET Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ESET and has not been reviewed or approved by ESET.
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Leave & Time Off Breadth — Time off is viewed as strong, with added days off and vacation/PTO described positively. Policies around PTO appear to contribute meaningfully to overall value.
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Parental & Family Support — Parental benefits are highlighted as supportive, with enhanced parental leave referenced in multiple regions. This area is frequently cited as a standout element of the package.
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Flexible Benefits — Flexible work options such as hybrid schedules and flexible hours are emphasized and appear to be widely appreciated. Work-from-home flexibility is repeatedly highlighted as a strength.
ESET Insights
What We Do
For more than 30 years we have been here helping to watch over and protect progress. Over a billion users worldwide rely upon ESET’s solutions to stay secure from increasingly sophisticated digital threats. ESET´s award-winning IT security software and services provide protection in over 200 countries and territories worldwide, with its software localized into more than 30 languages. Meanwhile, the world continues to move forward at pace. When ESET was founded, the Internet was in its infancy. Now technology is part of everything we do and is central to the continued advancements in our society. Most of the time technology does just what it is supposed to, but in order to ensure continued progress in the digital age we need someone to question what’s going on in the background. And that’s why we are here – to continue protecting technology from threats, enabling everyone to fully embrace it’s potential and rely on it. Put simply - when technology enables progress, ESET is here to protect it. ESET - Progress. Protected. Visit www.eset.com to learn more
