Note: The job is a remote job and is open to candidates in USA. CrowdStrike is a global cybersecurity company that protects organizations through its AI-native platform and large-scale distributed systems. The Sr. Data Scientist will provide technical leadership in applied AI/ML, developing LLM-driven applications and leading research, modeling, evaluation, deployment, and cross-functional initiatives focused on AI safety and cyber detection.
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 * 7+ 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
- Great Place to Work Certified™ across the globe
- Eligibility for bonuses
- Equity grants
- Health insurance
- 401k
- Paid time off
- Remote work
Company Overview