Data Science Intern - Core AI/ML

About CrowdStrike

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. 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. Our University Recruiting program is dedicated to attracting and cultivating the future leaders of this industry. This program offers paid positions for students and recent grads, designed to provide exposure to work that makes an impact while being supported through a structured experience with seasoned professionals. Ready to join a mission that matters? The future of cybersecurity starts with you.

About The Role: Data Science Intern - Core AI/ML

CrowdStrike's cybersecurity data is one-of-a-kind: we process over 300 billion behavioral events per day, and have more than 1 petabyte of malware samples in our research repository. As a Data Science Intern - Core AI/ML you will work closely with senior data scientists, software engineers and product managers to contribute to cutting-edge AI projects and gain hands-on experience with real-world cybersecurity challenges. You'll have access to our large-scale GPU compute clusters to train and experiment with advanced AI models.

What You'll Do:

• Conduct cutting-edge research applying the latest AI technologies to real-world cybersecurity challenges.
• Work directly with Sr. Data Scientists on bleeding edge applications including, but not limited to, training large language models (LLMs), developing graph neural networks, implementing optimization algorithms, and exploring tokenization methods.
• Leverage large-scale data to develop new algorithms and models for synthetic data generation, predictive systems, and improving threat detection.
• Automate and visualize processes throughout the AI development pipeline.

What You'll Need:

• You should be working towards a University degree in a field related to Computer Science, Maths, Statistics, Engineering or similar.
• Analytically minded with completed coursework in linear algebra, calculus, statistics, machine learning theory or an equivalent knowledge of applied mathematics.
• Experienced in writing python code to pre-process and analyze data to generate actionable insights and train AI models.
• Knowledge of object oriented programming, data structures and algorithms.
• Passionate about staying on top of the latest advancements in large language models, machine learning, data generation, and other AI techniques.

Bonus Points:

• PhD or Master's students in a field related to Computer Science, Maths, Statistics, Engineering or similar.
• Interest in contributing to and publishing research in top-tier AI/ML conferences and journals.
• Experience working with large datasets and machine learning models.
• Familiarity with Linux, cloud computing, CI/CD pipelines, Docker, Kubernetes, etc.
• Knowledge of cybersecurity challenges and how AI can be applied to tackle them.
• Willing to learn to contribute to the open source community (GitHub, Stack Overflow, blogging).

What You Can Expect:

• Market leader in compensation and equity awards.
• Paid holidays (including birthday holidays) and 401k matching (where applicable).
• Professional development opportunities including workshops, tech talks, and Executive Speaker Series.
• Assigned mentors from across the company for continuous support and feedback.
• Participation in companywide initiatives including FalconFIT, Wellness Programs, and Employee Assistance Program.
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections.
• Vibrant office culture with world class amenities.
• Ownership of impactful projects that move the company forward.
• Great Place to Work Certified™ across the globe.

Key skills/competency:

• Data Science
• Artificial Intelligence
• Machine Learning
• Python Programming
• Linear Algebra
• Statistics
• Cybersecurity
• Large Language Models
• Graph Neural Networks
• Data Analysis