About the Role:
CrowdStrike is seeking a Principal Data Scientist to join our team building the next generation of AI assistants powered by large language models (LLMs). You will work closely with other scientists, software engineers and product managers to provide technical leadership and strategic direction, while driving innovation in our AI capabilities.
You will shape the technical vision, mentor team members, and make high-impact decisions that influence the company's AI strategy. This is a unique opportunity to lead groundbreaking developments in AI assistants that will revolutionize how we access information and interact with technology in the cybersecurity space. This opportunity presents a dynamic, growth-oriented startup environment for a driven, research-focused professional.
What You’ll Do:
Lead and architect the research strategy for new GenAI agents/LLMs, setting the technical direction for the team
Drive innovation in LLM applications, including novel approaches to reasoning, summarization, and interactivity
Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies
Mentor and guide Data Scientists while fostering a culture of engineering excellence
Lead cross-functional initiatives and collaborate with senior leadership to align technical strategy with business goals
Represent CrowdStrike's technical excellence through publications, speaking engagements, and thought leadership
Establish best practices, technical standards, and evaluation frameworks for the team
What You’ll Need:
Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field
8+ years of applied machine learning / research experience, with demonstrated leadership in developing production-grade models
Deep expertise in LLM training / deployment at scale
Strong technical leadership experience, including mentoring teams and driving technical strategy
Advanced knowledge of Python, Deep Learning frameworks, and cloud technologies
Expert-level understanding of GPU technologies and optimization techniques
Outstanding communication skills with ability to influence senior stakeholders
Track record of solving complex technical challenges at scale
Bonus if You Have:
Patents or significant intellectual property contributions in AI
Strong research portfolio with publications in leading AI journals and conferences
Experience with cybersecurity applications of machine learning
Track record of successful research-to-production implementations at scale
History of contributions to open-source ML projects
