About the Role:
CrowdStrike is seeking a Senior Data Scientist to provide technical leadership within our Charlotte AI team. In this role, you'll architect and drive the development of next-generation AI solutions while mentoring team members and shaping the technical direction of our AI-powered security analyst platform. You'll leverage your extensive experience to tackle our most complex challenges, lead research initiatives, and help scale Charlotte AI's capabilities across the Falcon Platform.
You'll work at the intersection of advanced AI/ML research and practical cybersecurity applications. You'll have access to vast, proprietary security datasets, significant GPU computing infrastructure, and the opportunity to see your innovations directly impact how organizations defend against cyber threats. This position combines the intellectual rigor of research with the satisfaction of building production systems that protect millions of users worldwide.
About Charlotte AI
Charlotte AI is CrowdStrike's pioneering generative AI security analyst, representing over a decade of AI innovation in cybersecurity. Using recent advances in Large Language Models, Charlotte AI empowers users of all skill levels to leverage the vast data available in the Falcon Platform while reducing security operations complexity and cost. It's a first-of-its-kind offering that transforms how security teams investigate threats, analyze incidents, and protect their organizations.
Learn more about Charlotte AI: https://www.crowdstrike.com/products/charlotte-ai/
What You'll Do:
Lead the architecture and development of complex LLM-based solutions, defining technical approaches and best practices for integration into Charlotte AI
Drive research initiatives to expand Charlotte AI's capabilities, including novel approaches to security-focused AI/ML challenges
Mentor junior data scientists and provide technical guidance across teams to elevate the overall quality of ML solutions
Architect and optimize large-scale training pipelines for custom LLMs, ensuring production readiness and performance
Implement mechanistic explainability and interpretability features to ensure Charlotte AI's recommendations are transparent and trustworthy for security professionals
Collaborate with engineering teams to translate ML innovations into scalable, fault-tolerant microservices using modern cloud technologies
Design and implement robust evaluation frameworks for model performance and security
Work with massive-scale security data (processing 3 trillion events daily) to extract actionable insights and identify emerging threat patterns
Partner with product managers and security experts to align model capabilities with real-world security operations needs
Drive technical decision-making for ML infrastructure and tooling choices
Contribute to the broader ML community through publications, patents, and open-source contributions while maintaining CrowdStrike's thought leadership in AI-powered security
What You'll Need:
7+ years of applied machine learning experience developing and deploying production ML systems
Strong foundation in ML, including LLMs, deep learning, transformer architectures and state-of-the-art NLP techniques
Hands-on experience with LLMs and frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
Proficiency in Python and experience with distributed computing environments
Experience with production ML pipelines, including data preprocessing, model training, evaluation, and deployment
Strong problem-solving skills with the ability to translate complex security challenges into ML solutions
Excellent communication skills to collaborate with cross-functional teams and explain technical concepts to diverse audiences
Self-starter mentality with a passion for continuous learning and staying current with AI/ML advances
Track record of mentoring junior data scientists and leading technical initiatives
Proven ability to drive innovation and research in production environments
Bonus Points:
PhD or advanced degree in Computer Science, Statistics, Mathematics, or related field with focus on ML/AI
Track record of research contributions at influential conferences (NeurIPS, ICML, CVPR, ICLR), open-source ML libraries or patents in AI/ML
Experience with large-scale distributed training and GPU optimization (CUDA, TensorRT)
Experience with security or cybersecurity domains, though not required - we will provide mentoring
Knowledge of cloud technologies (AWS, Kubernetes, Docker) and microservices architecture
Familiarity with big data technologies (Kafka, Cassandra, Elasticsearch)
Experience with Go (Golang) for building high-performance systems
Background in privacy-preserving ML or adversarial machine learning
Tech Stack
While not mandatory to know everything, familiarity with our stack is beneficial:
ML/AI: Python, TensorFlow, PyTorch, Hugging Face, CUDA
Infrastructure: AWS, Kubernetes, Docker, Redis, S3
Data: Kafka, Cassandra, Elasticsearch, OpenSearch
Languages: Python (primary), Go (for services)
Version Control: Git
Why Join Charlotte AI at CrowdStrike?
Technical leadership: Shape the direction of cutting-edge AI security solutions
Innovation: Access to cutting-edge LLM technology and the resources to push boundaries in AI-powered security
Scale: Work with one of the largest security datasets in the world (3 trillion events daily)
Growth: Join a rapidly expanding team and contribute to the development of AI talent through technical mentoring and guidance
Culture: Remote-friendly environment that values autonomy, innovation, and collaborative problem-solving
Mission: Lead technical initiatives that directly contribute to stopping breaches worldwide
This senior role offers the opportunity to shape the future of AI-powered security while leading a team of talented data scientists. If you're passionate about technical leadership, innovation in AI, and solving complex security challenges, we want to hear from you.
