Sr. Data Scientist

Role Description

CrowdStrike is seeking a Sr Applied Researcher to join our team building greenfield next-generation AI that stops breaches and is powered by large language models (LLMs), deep learning, and other modern AI techniques. You will work closely with other scientists and software engineers to provide technical leadership and strategic direction, while driving innovation in our AI capabilities.

You will shape the technical vision by bringing leading edge AI technology into our product, contribute to production systems, and make high-impact decisions that influence the company's AI strategy. This is a unique opportunity to lead groundbreaking developments in cybersecurity AI that will help keep our customers safe. 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 applying AI to cybersecurity.
• Drive innovation in AI applications, including novel approaches to reasoning, summarisation, and interactivity.
• Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies.
• Implement cutting edge ML/AI research in the context of cybersecurity.
• Build production ready AI systems that operate at CrowdStrike’s massive scale.
• Mentor and guide 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.

Qualifications

• 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 and deep learning training and deployment at scale.
• Have a bias-for-action, ability to make high-judgement decisions, and be comfortable in the face of ambiguity.
• 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 optimisation techniques.
• Outstanding communication skills with ability to influence senior stakeholders.
• Track record of solving complex technical challenges at scale.

Bonus Points

• 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.

Benefits

• Market leader in compensation and equity awards.
• Comprehensive physical and mental wellness programs.
• Competitive vacation and holidays for recharge.
• Paid parental and adoption leaves.
• Professional development opportunities for all employees regardless of level or role.
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections.
• Vibrant office culture with world class amenities.
• Great Place to Work Certified™ across the globe.