Data Scientist III - CharlotteAI (Remote, ROU)
Undelucram.roRomania18 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
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Undelucram.ro on behalf of:
Crowdstrike SRL
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:
While not mandatory to know everything, familiarity with our stack is beneficial:
Crowdstrike SRL
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
- 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
- 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
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
- 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
Key Skills
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