Market leader in compensation + equity awards; com...
Fully remote
Advanced degree in computer science or data science
5+ years of applied machine learning experience
Deep expertise in llm training and deployment at scale
CrowdStrike is seeking a Data Scientist III to lead Applied Generative AI research and establish standards for AI implementation across the organization. The ideal candidate will have extensive experience in machine learning, particularly in deploying large language models, and will play a crucial role in driving innovation in AI applications within the cybersecurity sector
Job Summary
The role involves leading and architecting the research strategy for Applied GenAI initiatives while establishing technical standards for enterprise-wide implementation.
Candidates will mentor data scientists, foster a culture of excellence, and make high-impact decisions that influence the company's AI strategy.
CrowdStrike offers market leader compensation, comprehensive wellness programs, and professional development opportunities for all employees.
Matching Summary
Match Score: 85
CrowdStrike is seeking a Data Scientist III to lead Applied Generative AI research and establish standards for AI implementation across the organization. The ideal candidate will have extensive experience in machine learning, particularly in deploying large language models, and will play a crucial role in driving innovation in AI applications within the cybersecurity sector.
Salary
Market leader in compensation and equity awards; Comprehensive physical and mental wellness programs included; Competitive vacation and holidays provided
Skills & Requirements
Must-have
Advanced degree in Computer Science or Data Science
5+ years of applied machine learning experience
Deep expertise in LLM training and deployment at scale
Strong technical leadership and mentoring capabilities
Expert knowledge of Python and Deep Learning frameworks
Nice-to-have
Patents or significant intellectual property contributions
Publications in leading AI journals and conferences
Experience with cybersecurity applications of ML
Contributions to open-source ML projects
Track record of research-to-production implementations
Key Requirements
PhD or Masters degree required
5+ years of applied ML/research experience
Demonstrated leadership in developing production-grade models
Expert-level understanding of GPU technologies and optimization