About the Role:
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 you will work closely with other scientists, software engineers and product managers to provide technical leadership and strategic direction, while driving innovation in our AI capabilities.
What You'll Do:
You will have the opportunity to apply the latest generative AI technologies to cybersecurity challenges. This includes building AI assistants, data generation models, and more to push the boundaries of AI-powered security.
You’ll be able to leverage large-scale rich data to meaningfully improve our AI models and refine our identification of malicious computer software and behavioral threats.
Work directly with Sr. Data Scientists on bleeding edge applications of generative adversarial networks, diffusion models, reinforcement learning, and other state-of-the-art techniques.
Help create and refine AI agents that can automatically detect and mitigate sophisticated cyber threats.
Experiment with new algorithms and models to generate synthetic datasets, power predictive systems, and more.
Automate and visualize processes throughout the generative AI development pipeline.
What You'll Need:
You should be working towards a University degree in a field related to Computer Science, Maths, Information Systems, Engineering, etc.
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 generative adversarial networks, diffusion models, data generation, and other AI techniques.
Bonus Points:
PhD or Master’s students in a field related to Computer Science, Maths, Information Systems, Engineering, etc.
Eagerness to learn and experiment with generative AI models.
Experience working with large datasets and neural network architectures.
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)
