Engineer I, Data Scientist - New Grad (Hybrid

As a global leader in cybersecurity, Crowd Strike 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 Crowd Strike to keep their businesses running, their communities safe and their lives moving forward. We’re proud to work for a mission-driven company leveraging AI to transform the way we work. Crowd Strikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation.

We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented Crowd Strikers 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.

Crowd Strike is seeking a highly motivated new graduate to join our NGSIEM Agentic AI team. In this role, you will help build intelligent systems that analyze security data at massive scale. You will contribute to machine learning models, ranking and retrieval systems that power next-generation security operations. Working alongside experienced engineers, researchers, and security experts, you will help transform cutting‑edge AI research into production‑grade capabilities.

This is a unique opportunity to solve challenging real‑world problems at the intersection of AI, large‑scale systems, and cybersecurity while making a direct impact on protecting organizations worldwide.

This is a hybrid role based out of our office in Sunnyvale, CA, requiring 2 days per week on-site.

• Develop, test, and deploy models that directly impact Crowd Strike products.
• Deploy machine learning techniques to develop highly accurate models
• Solve complex technical problems with a high degree of ownership and autonomy.
• Apply machine learning and AI technologies to improve product capabilities and user experiences.
• Develop automated tests and contribute to overall software quality and reliability.
• Participate actively in architecture, design, and code reviews.
• Continuously learn new technologies, industry trends, and emerging research relevant to AI and cybersecurity.
• Work on GenAI and LLM projects, including fine‑tuning models, creating embedding‑based search systems, and developing AI‑driven prototypes to enhance business operations.
• Contribute ideas and innovations in a fast‑paced, customer‑focused environment.
• Collaborate with engineers, data scientists, and product teams to build machine learning models and AI‑powered capabilities.
• Write production‑ready code that can be relied on for real‑time decision making by Crowd Strike products
• Achieve success by researching / developing through iteration and inventive feature engineering.
• Opportunity to work with technologies including, but not limited to Python, Go, Blob storage (S3), PyTorch, scikit‑learn and SQL

• Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Data Science, AI).
• Strong foundation in machine learning, statistics, or data science
• Hands‑on school or internship experience with:
• Excellent analytical and problem‑solving abilities, Machine Learning Concepts
• Experience with Go, Python and common data science tools through coursework, research, internships, or personal projects
• Demonstrated ability to analyze complex problems and build data‑driven solutions
• Strong communication skills and ability to explain technical ideas clearly
• Ability to write clean, maintainable code
• Strong attention to detail and curiosity about security problems
• Can work collaboratively with cross‑functional teams.
• Proven experience utilizing AI technologies to…