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 Experienced AI Researcher, you apply machine learning methods to real-world cybersecurity problems — preparing behavioral data, building and evaluating models, and guiding them toward production. Beyond that, you maintain and improve deployed models across their full lifecycle, from monitoring to continuous optimization.
About the Role
Prepare and process behavioral data for training models that detect malicious activity.
Build and evaluate prototypes, iterating on architectures and features until production-quality, on dedicated in-house GPU servers — enough compute to compete with the biggest players in the industry.
Deploy models into production and integrate them with existing detection and incident-handling pipelines.
Monitor, maintain, and optimize deployed models across their full lifecycle — from drift detection to retraining and performance tuning.
When opportunities arise, explore novel architectures beyond applying existing models.
Essential Requirements
Practical understanding of modern AI/ML methods — knowing which models fit which problems, when to use simpler approaches versus novel architectures, and how to optimize them for production.
Proficiency in Python and its AI/ML ecosystem.
Experience with AI/ML lifecycle tooling and infrastructure for production model serving and lifecycle management.
Ability to work independently and take full ownership of model development from start to finish.
Strong drive for continuous learning and staying current with state-of-the-art research.
Desirable Requirements
University degree in Machine Learning, Data Science, Mathematics, or a related technical field.
Basic understanding of computer and network security.
Experience with Big Data technologies and cloud platforms (AWS).
Technologies
Python, Scikit-learn, PyTorch, TensorFlow, Polars, Hadoop, Spark, Hive, Impala, Iceberg, LanceDB, (My)SQL, Kafka, MLflow, Kubeflow, Argo, Git, JIRA, Confluence, Docker, Kubernetes, Jenkins, AWS.
Basic wage component (brutto): from 3000 EUR
* 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 #senior #medior #LI-Hybrid
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
Brno, PragueTime type
Full timeSkills Required
- University education, Master's or higher in a machine learning-related field
- Proficient in Python programming for prototyping
- Experience with Big Data technologies
- Basic understanding of computer/network security
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
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