Data Scientist III - CharlotteAI (Remote, ROU) at CrowdStrike

Bucharest, , Romania -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

0.0

Posted On

26 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Natural Language Processing, Statistical Methods, Python, TensorFlow, PyTorch, Hugging Face, Data Pipelines, Model Training, Model Evaluation, Model Deployment, Problem-Solving, Communication, Self-Starter Mentality, Continuous Learning

Industry

Computer and Network Security

Description

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. 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. #LI-DM1 #LI-REMOTE Benefits of Working at CrowdStrike: Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. CrowdStrike was founded in 2011 to fix a fundamental problem: The sophisticated attacks that were forcing the world’s leading businesses into the headlines could not be solved with existing malware-based defenses. Founder George Kurtz realized that a brand new approach was needed — one that combines the most advanced endpoint protection with expert intelligence to pinpoint the adversaries perpetrating the attacks, not just the malware. There’s much more to the story of how Falcon has redefined endpoint protection but there’s only one thing to remember about CrowdStrike: We stop breaches.

Responsibilities

Design and develop LLM-based models for integration into Charlotte AI, focusing on practical applications that enhance security analyst workflows. Collaborate with engineering teams to translate ML innovations into scalable, fault-tolerant microservices using modern cloud technologies.