Data Scientist, Applied AI/ML
Core
Lead the research strategy and technical direction for next-generation AI/ML technologies, specifically focusing on AI safety, AI red-teaming, and applied AI deployments in cybersecurity.
Role type
Principal Data Scientist (Applied AI/ML & LLMs)
Builds
Production-grade LLM-driven applications, GenAI agents, and advanced cyber detection solutions.
Domain
Cybersecurity, Artificial Intelligence, Large Language Models (LLMs)
Deliverable
production ML models
Required skills
Technical leadership, LLM training and deployment at scale, Python, Deep Learning frameworks, GPU optimization, strategic decision-making for model architectures, mentoring teams
Preferred skills
Patents in AI, publications in leading AI journals, cybersecurity ML applications, open-source ML contributions
Technologies
Python, Deep Learning frameworks, Cloud technologies, GPU technologies
Responsibilities
Lead and architect the research strategy for new GenAI agents/LLMs, drive innovation in LLM applications (reasoning, summarization), manage trade-offs between accuracy, efficiency, and operational costs, establish best practices and evaluation frameworks, represent technical excellence through thought leadership
Seniority
Principal, strategy & mentorship