Data Science Engineer

A leading, rapidly growing Cybersecurity corporation that develops high-scale, B2B enterprise platforms protecting global organizations from emerging digital threats.

Operating at the absolute cutting edge of the industry's shift toward intelligent defense, the company builds production-grade, AI-native security ecosystems that defend complex cloud and data layers.

Counting hundreds of employees, the organization offers an elite R&D environment that blends deep academic research with large-scale product engineering.

The company's R&D headquarters is located in Tel Aviv (highly accessible, situated directly on a primary train line) and operates on a hybrid model allowing for one day of remote work per week.

Position Overview-

• Senior AI / NLP Research Engineer joining an elite data science and engineering division to architect production-grade AI security products.
• Owning the end-to-end machine learning lifecycle: from abstract problem definition and theoretical research to LLM/NLP model development, production deployment, and continuous live optimization.
• Engineering advanced defense frameworks specifically designed to parse, model, and secure massive pipelines of Textual Data (NLP).
• Designing robust validation experiments and model evaluation metrics to measure real-world performance against complex enterprise threat vectors.
• Working within a heavily data-centric ecosystem using Python, PyTorch, and Hugging Face.

Requirements-

• 4+ years of proven professional experience as a Data Scientist / ML Research Engineer (Mandatory).
• Proven career background working within Cybersecurity or Network Performance companies at any stage of your career history (Mandatory).
• Direct, hands-on production experience with at least one of the following domains: NLP, LLMs, or Generative AI (GenAI) (Mandatory).
• Strong programming and execution capabilities in Python and PyTorch / Hugging Face.

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