We are seeking a Senior Applied Researcher/ Data Scientist to join core product organization, where you will build and deploy next-generation AI models powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). The role centers on building and scaling intelligent systems powered by LLMs, advanced ML techniques, and agent-based architectures.
You will join a team within Cyber R&D organization, leading the companys core product portfolio-while driving AI innovation and setting best practices across the domain. The group focuses on developing next-generation technologies, including training and optimizing LLMs and building advanced multi-agent workflows, while mentoring data scientists across R&D.
As a key technical leader, you will guide the evolution of our AI capabilities-converting cutting-edge ideas into impactful, production-ready systems and shaping our long-term direction.
We are looking for visionary applied researchers eager to take on ambitious challenges and push the boundaries of AI in cybersecurity.
The Responsibilities:
Design and build advanced AI models and systems that power core products and address real-world cybersecurity challenges.
Own initiatives end-to-end from identifying customer-driven problems and shaping solutions to experimentation, prototyping, and production deployment.
Drive forward new ideas and research directions, turning emerging concepts into practical, scalable solutions.
Influence the organizations roadmap and contribute to long-term technical strategy across AI and product landscape.
Requirements: 5+ years of experience as an applied researcher with proven production-level impact.
Masters degree in Computer Science, Mathematics, Statistics, or Engineering (PhD is a plus, but not required).
Experience in applied research, including work with Transformers, open-source LLMs, or other advanced deep learning architectures.
Strong programming skills in Python, with hands-on experience in modern ML frameworks and tooling.
Excellent problem-solving skills and a strong experimental mindset.
Strong communication skills and the ability to collaborate effectively across teams.
High curiosity and a passion for learning new technologies, methods, and domains.
This position is open to all candidates.