Intelligence Internship: AI-Driven Security & Data Science

CrowdStrike Inc.; Virginia; Hybrid; USD 34,000 - 44,000; Full time

Benefits offered by this job

Paid holidays

401k matching

Mentors

Professional development

Job summary

CrowdStrike is seeking an Intelligence Automation intern to contribute to the AI-driven Intelligence pipeline, collaborating with data scientists, engineers, and researchers. You will help design scalable AI components, evaluate outcomes, and participate in building reliable production workflows.

Ideal candidates are penultimate-year Computer Science/Engineering students with Python/Go/Rust/JS TS skills, Linux fluency, and an interest in AI-enabled security.

Qualifications

• Penultimate-year student (CS/Engineering/Math or related).
• Proficiency in at least one of Python, Go, Rust, or JavaScript/TypeScript.
• Comfortable with Linux, Git and CI/CD pipelines.
• Demonstrated use of AI/ML to improve workflows; show relevant repos or projects.

Responsibilities

• Data Science and AI: multi-agent orchestration, RAG, sandboxing, software factory, evaluations, self‑improvement loops.
• Infrastructure and Platform Engineering: operating containerized workloads and CI/CD pipelines, environments and tooling for AI workflows.
• Software Engineering: writing scalable, production‑ready code and tests/automation.
• Security Research: binary analysis, vulnerability research and threat intelligence.
• Architect AI‑assisted systems with real‑world impact: integration and verification of outputs.
• Learn how to run AI workflows in production: evaluation, monitoring, failure handling, continuous improvement.
• Work directly with Senior Data Scientists, Engineers, and Researchers.

Skills

Python

Go

Rust

JavaScript/TypeScript

Education

Undergraduate/Master's student

Tools

Linux

Git

CI/CD

Job description

CrowdStrike is seeking an Intelligence Automation intern to contribute to the AI-driven Intelligence pipeline, collaborating with data scientists, engineers, and researchers. You will help design scalable AI components, evaluate outcomes, and participate in building reliable production workflows.

Ideal candidates are penultimate-year Computer Science/Engineering students with Python/Go/Rust/JS TS skills, Linux fluency, and an interest in AI-enabled security.