Senior Data Scientist - AI Research Group

At Dream, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; It’s a Dream job. Dream is where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Let’s build something extraordinary together.

Dream's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our Dream's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.

At Dream, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.

The Dream Job:

We are seeking a Senior Data Scientist / Applied Researcher to build the next generation of AI models powering diverse cybersecurity use cases across our products and organization. This role involves significant work with large language models (LLMs) and advanced machine learning techniques to tackle complex, real-world challenges. You will lead and drive the company's innovation strategy, translating cutting-edge research into measurable business impact and shaping the future direction of our AI capabilities.

The Dream-Maker Responsibilities:

• Conduct hands-on research and development of state-of-the-art models, algorithms, and systems.
• Lead research projects end-to-end from problem formulation, ideation, and experimental design to prototyping and transition into production.
• Explore new methodologies and develop creative approaches to solve complex challenges.
• Identify ambitious research directions and invent novel approaches to solve complex, high-impact problems.
• Shape the research roadmap and influence long-term technical strategy across the organization.
  
  

• 5+ Years as a Data Scientist with proven production-level impact.
• Master’s degree in Computer Science, Mathematics, Statistics or Engineering (PhD is a plus but not required).
• Experience conducting applied research and working with Transformers, open-source LLMs, or other advanced deep learning architectures.
• Strong programming skills in Python and familiarity with modern ML tooling and frameworks.
• Excellent problem-solving abilities and a strong experimental mindset.
• Effective collaborator with strong communication skills.
• High curiosity and a passion for learning new technologies, methods, and domains.