aipythontransformersllmmachine learningdeep learningcybersecuritymulti agent systems
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это хорошо описанная руководящая роль с практической работой над AI в кибербезопасности и заметной технической ответственностью, но без зарплаты сложно оценить условия целиком.
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Зарплата не указанаШирокая ответственностьСовременный стекНа стыке AI и кибербезопасности
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Applied Science Team Lead (AI): Leading the development and deployment of AI models for sovereign cybersecurity products with an accent on LLM training, advanced machine learning, and agent-based architectures. Focus on building production-ready intelligent systems, guiding applied research, and scaling technical teams across Posture, Detection, and CTI.
Location: Remote, Tel Aviv-Jaffa, Israel
Company
A sovereign AI and national cyber-defense company building AI-native resilience and decision systems for governments.
What you will do
Lead, mentor, and grow a team of applied scientists while setting technical direction and research standards.
Design and build AI models and intelligent systems for cybersecurity products covering Posture, Detection, and CTI.
Own initiatives from customer-driven problem discovery and solution design through experimentation, prototyping, and production deployment.
Develop and optimize LLMs, advanced machine learning models, and multi-agent workflows.
Influence the AI product roadmap and contribute to long-term technical strategy across the organization.
Requirements
5+ years of experience as an applied researcher with proven production-level impact.
Proven experience leading, training, and developing applied scientists or data scientists.
Hands-on expertise in research, modeling, coding, and production machine learning systems.
Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field; PhD preferred.
Experience with Transformers, open-source LLMs, advanced deep learning architectures, and training large language models using supervised fine-tuning and reinforcement learning.
Strong Python programming skills and experience with modern machine learning frameworks and tooling.
Culture & Benefits
Work on national-scale cybersecurity and AI systems addressing advanced threats.
Collaborate with AI researchers, cyber operators, and government experts.
Contribute to a culture of technical excellence, continuous learning, curiosity, and experimentation.
Take a hands-on leadership role shaping long-term AI capabilities and research directions.
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