About the role
Undelucram.ro on behalf of:
Crowdstrike SRL About The Job As a global leader in cybersecurity, CrowdStrike protects the people, processes, and technologies that drive modern organizations. Since 2011, the mission hasn’t changed — stopping breaches — and CrowdStrike has redefined modern security with the industry’s most advanced AI-native platform. The company cultivates a culture that gives every CrowdStriker the flexibility and autonomy to own their careers, with a relentless focus on innovation and a fanatical commitment to customers, community, and each other.
The University Recruiting program is dedicated to attracting and cultivating the future leaders of the industry, offering paid positions for students and recent grads designed to provide exposure to impactful work, supported through a structured experience alongside seasoned professionals.
About the Role: CrowdStrike’s cybersecurity data is one-of-a-kind: the company processes over 300 billion behavioral events per day and holds more than 1 petabyte of malware samples in its research repository. As a Data Scientist, you’ll 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, with access to large-scale GPU compute clusters to train and experiment with advanced AI models. Please note this is a 6 month fixed employment role.
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 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 improved threat detection
- Automate and visualize processes throughout the AI development pipeline
What You’ll Need:
- University degree in Computer Science, Maths, Statistics, Engineering, or a related field
- Analytically minded, with completed coursework in linear algebra, calculus, statistics, machine learning theory, or equivalent knowledge of applied mathematics
- Experience writing Python code to pre-process and analyze data, 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 LLMs, machine learning, data generation, and other AI techniques
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
Bonus Points:
- PhD or Master’s in 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
- Willingness to contribute to the open-source community (GitHub, Stack Overflow, blogging)
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