Note: The job is a remote job and is open to candidates in USA. CrowdStrike is a global cybersecurity company that protects organizations through an AI-native platform and large-scale distributed systems. The Data Scientist will provide technical leadership in applied AI/ML, develop LLM-driven applications, and lead research and deployment initiatives focused on AI safety, cyber detection, and generative AI. The role also involves mentoring data scientists, guiding technical strategy, and collaborating with product, engineering, security experts, and senior leadership.
Responsibilities
- Work alongside teammates to develop clever, innovative, and efficient solutions to problems in AI safety and cyber detection
- Co-develop strategies and implementations for end-to-end research and development: data sourcing, data labeling, advanced modeling, evaluation/benchmarking, and product-ready engineering collaboration
- Interoperate with product and engineering teams to ensure that you are designing and building the right solutions: fit-for-purpose, efficient, computable, and maintainable
- Drive innovation in LLM-related research and development in close collaboration with security experts
- Intelligently managed trade-offs between accuracy, efficiency, and operational costs of fielded AI/ML models
- Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies
- 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, summarisation, and interactivity
- 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
Skills
- * Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field
- * 5+ years of applied machine learning / research experience, with demonstrated expertise in developing production-grade models
- * Deep expertise in LLM training or post-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 optimisation techniques
- * Outstanding communication skills with ability to influence senior stakeholders
- * Track record of solving complex technical challenges at scale
- * 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
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
- Eligibility for bonuses
- Equity grants
- Health insurance
- 401k
- Paid time off
Company Overview