About the Role:
CrowdStrike is seeking a Senior Data Scientist II to join our team building the next generation of AI assistants powered by large language models (LLMs). In this role, you will collaborate with other scientists, software engineers and product managers to implement and enhance our AI capabilities. You will contribute to the technical direction, lead specific project workstreams, and help drive innovation in our AI solutions. You will contribute to technical direction, lead specific project workstreams, and help drive innovation in our AI solutions. This role offers significant opportunity for growth and impact in applying cutting-edge AI technology to cybersecurity challenges.
What You’ll Do:
Architect and implement sophisticated LLM solutions, with deep focus on advanced techniques in reasoning, summarization, and interactive capabilities
Design and optimize complex neural architectures for specific use cases
Lead technical implementation of GenAI projects and provide guidance to team members
Develop novel approaches to model training, fine-tuning, and deployment optimization
Collaborate with cross-functional teams to translate business requirements into technical solutions
Contribute to establishing best practices and evaluation frameworks for AI models / systems
Present technical findings and recommendations to leadership and stakeholders
Conduct advanced research into emerging AI technologies and their practical applications
Author technical documentation and share knowledge through internal workshops
What You’ll Need:
Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field
6-8 years of applied machine learning / research experience, with focus on developing production-grade models
Deep theoretical and practical knowledge of modern LLM architectures (Transformer-based models, attention mechanisms, etc.)
Proven experience leading technical projects and mentoring junior team members
Advanced knowledge of Python, Deep Learning frameworks, and distributed computing
Excellent communication skills and ability to work effectively with cross-functional teams
Demonstrated ability to balance research innovations with practical implementation
Bonus if You Have:
Research portfolio with publications in leading AI journals and conferences
Experience with cybersecurity applications of machine learning
Contributions to research papers or technical publications
Experience with large-scale ML systems in production
Active participation in open-source ML projects
Track record of successful end-to-end ML project delivery
