Senior AI/Machine Learning Researcher

Posted Yesterday
Be an Early Applicant
3 Locations
In-Office
54K-54K Annually
Senior level
Information Technology
The Role
Lead research and experimentation on AI/ML models (especially transformers) to detect and evaluate security incidents on terabytes of behavioral data, design production-ready solutions, mentor researchers, and collaborate with data, security operations, and engineering teams to drive AI applications across the incident lifecycle.
Summary Generated by Built In

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 a Senior Machine AI Researcher, you take part in researching, experimenting, and creating the best models to evaluate potential incidents. Beyond that, you look for applications of AI/ML approaches across the entire incident lifecycle, whether signal filtering, incident summarization, or malicious activity mitigation. 

About the Role 

  • Explore new AI/ML opportunities, leveraging your accumulated expertise to evaluate state-of-the-art research and decide what's worth pursuing in our domain. 

  • Design and run experiments on terabytes of behavioral data (on-prem and cloud), validating ideas before production on dedicated in-house GPU servers — enough compute to compete with the biggest players in the industry. 

  • Challenge existing solutions and decisions — driving critical discussion in the team. 

  • Collaborate with data collection, security operations, and software development — identifying promising opportunities to apply AI/ML where it advances real business goals. 

  • Mentor other researchers and steer the long-term research direction, supporting technical decisions that push the boundaries of AI/ML in cybersecurity. 

Essential Requirements 

  • Deep understanding of the mathematical and statistical principles behind modern ML/AI methods — ability to critically evaluate and adapt models. 

  • Experience with modern neural network architectures, especially transformers and their variants. 

  • Strong drive for continuous learning and staying current with state-of-the-art research. 

  • Ability to work independently across the full research lifecycle — from literature review to experimentation to production-ready solutions. 

Desirable Requirements 

  • University degree in Machine Learning, Data Science, Mathematics, or a related technical field. 

  • Basic understanding of computer and network security. 

  • Experience with cloud platforms — AWS preferred. 

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 4500 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 15 - 20% 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
Family
  • Marriage allowance
  • Childbirth allowance
  • Parental contribution
  • ESET family events (Family day, St.Nicholas)
Office
  • Refreshments in the office (fruits, coffee, soft drinks)
  • Let´s get together breakfast
  • Activity room, quiet room
  • ESET events (Žranica, Christmas party..), teambuildings
Other
  • Loyalty allowance
  • Loyalty extra days off
  • Loyalty cake
  • Loyalty glass award
  • Refer a friend
  • Christmas presents
  • Discounts from external providers

Primary location

Bratislava

Additional locations

Brno, Prague

Time type

Full time

Skills Required

  • Deep understanding of mathematical and statistical principles behind modern ML/AI methods
  • Experience with modern neural network architectures, especially transformers and variants
  • Ability to work independently across the full research lifecycle from literature review to production-ready solutions
  • Experience designing and running experiments on very large (terabyte-scale) behavioral datasets
  • Strong drive for continuous learning and staying current with state-of-the-art research
  • University degree in Machine Learning, Data Science, Mathematics, or related technical field
  • Basic understanding of computer and network security
  • Experience with cloud platforms (AWS preferred)

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Bratislava
1,697 Employees
Year Founded: 1992

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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