About the Role:
CrowdStrike is seeking an experienced Data Scientist to join our Charlotte AI team, where you'll be at the forefront of developing the next generation of AI-powered security analysts. Charlotte AI represents a groundbreaking generative AI security analyst that leverages the world's highest-fidelity security data, seamlessly integrated with CrowdStrike's industry-leading threat intelligence. This role offers a unique opportunity to apply cutting-edge machine learning techniques to revolutionize how security professionals of all skill levels interact with and derive insights from the Falcon Platform.
As an Applied Data Scientist on the Charlotte AI team, 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:
Design and develop LLM-based models for integration into Charlotte AI, focusing on practical applications that enhance security analyst workflows and decision-making
Research and prototype new AI/ML techniques to expand Charlotte AI's capabilities in areas like threat reasoning, incident summarization, and interactive security analysis
Build and optimize data pipelines for training custom LLMs on security-specific datasets, ensuring high-quality model performance in production environments
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
Continuously monitor and improve model performance through rigorous testing, A/B experimentation, and deployment of updated fine-tuned models
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
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:
5+ years of applied machine learning experience developing and deploying production ML systems
Strong foundation in machine learning fundamentals, including GenAI, deep learning, natural language processing, and statistical methods
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
Bonus Points:
PhD or advanced degree in Computer Science, Statistics, Mathematics, or related field with focus on ML/AI
Experience with security or cybersecurity domains, though not required - we will provide mentoring
Expertise in specialized areas: self-supervised learning, representation learning, or multi-modal learning
Experience with large-scale distributed training and GPU optimization (CUDA, TensorRT)
Knowledge of cloud technologies (AWS, Kubernetes, Docker) and microservices architecture
Familiarity with big data technologies (Kafka, Cassandra, Elasticsearch)
Track record of research contributions or patents in AI/ML
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?
Impact: Your work will directly enhance how security teams worldwide detect and respond to threats
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 at the forefront of generative AI in cybersecurity
Culture: Remote-friendly environment that values autonomy, innovation, and collaborative problem-solving
Mission: Contribute to stopping breaches and protecting organizations globally
This role offers the unique opportunity to shape the future of AI-powered security analysis while working with a world-class team dedicated to making cybersecurity accessible and effective for all. If you're passionate about applying advanced ML techniques to real-world challenges and want to be part of revolutionizing how security teams operate, we want to hear from you.
