Senior AI/Machine Learning Researcher

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).

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