Summary
We are looking for a passionate and experienced Machine Learning Researcher (m/f/n) to join our Technology Division, preferably someone with a strong foundation in machine learning, whether built through academic research, personal projects, or industry experience.Job description
While this role is intended for highly skilled researchers (m/f/n), we also welcome exceptionally talented individuals who may not have extensive work experience but demonstrate deep understanding, curiosity, and a strong drive to advance the field.
To be clear from the start: we are not just another company jumping on the current machine learning/artificial intelligence hype. Our experts have been working with machine learning for more than 20 years, with neural networks making their first appearance in our products back in 1998.
What does working as a Machine Learning Researcher (m/f/n) entail?
A Machine Learning Researcher (m/f/n) is responsible for exploring and proposing novel approaches to leverage data for threat detection. The role involves designing and executing experiments, analyzing results, and determining the next steps in the development of advanced machine learning models.
The main project builds on heuristic correlations of behavioral data, which are subsequently evaluated using cutting-edge machine learning models. The position requires a strong experimental mindset, adaptability to evolving data, and a focus on delivering robust and effective solutions.
While the primary focus is on research, the position also includes aspects of ML-Ops, such as deploying, monitoring, and refining models in production, which can be expanded depending on the candidate’s interests and expertise.
Where does the Machine Learning Researcher (m/f/n) work?
The position is part of the Technology Division located in Bratislava. The team works extensively with behavioral data stored in a large-scale big data infrastructure. There are multiple specialized groups within the team: some focus on heuristic modeling to correlate behavioral signals, others are dedicated to threat simulation and synthetic data generation.
The group for which this position is open is responsible for developing and improving machine learning models and solutions.
These groups collaborate closely, sharing expertise and findings across domains to achieve common goals. In addition to internal collaboration, the team works closely with other departments involved in data collection, manual incident evaluation and handling, as well as with software development teams. This cross-functional cooperation ensures that research efforts are grounded in real-world needs and can be effectively translated into impactful, production-ready solutions.
Technologies used in the job
Python, Scikit, PyTorch, TensorFlow, Hadoop, Scylla, Spark, Flink, Hive, Impala, Kafka, (My)SQL, JIRA, Confluence, Git, MLflow, Airflow, Jenkins, Docker, K8s
The advantages
You will be creating something that truly helps protect millions of users worldwide. You will also have the opportunity to learn new things and apply machine learning approaches in the cybersecurity field—an area mastered by only a handful of people.
Are you cut out for the job?
Since this is a dedicated research (or applied research) position, we are primarily looking for candidates (m/f/n) with a university education, Master’s or higher degree, in a machine learning-related field. Candidates (m/f/n) with backgrounds in Data Science, Computer Science, Data Mining, or Statistics are welcome, ideally with previous work in the field.
The candidate (m/f/n) should be proficient enough in programming to create prototypes in Python. Experience with Big Data technologies and at least a basic understanding of computer/network security are considered advantages. And last but not least, to keep pace with the bad guys, a healthy appetite for continuous learning is essential.
The appetite for drinks, beers, food, and a great time will be satisfied at several off-site teambuilding activities, our annual Christmas party, and the big company event known as Zranica.
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-MF1 #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
