[Hiring] Sr. Data Scientist II, GenAI @CrowdStrike

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.

• 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.
• 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.

Requirements

• Have a bias-for-action, ability to make high-judgement decisions, and be comfortable in the face of ambiguity.

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.