AI-Driven Intelligence Intern, Summer 2027

CrowdStrike Inc.; Arlington (VA); Hybride; USD 28 000 - 34 000; Plein temps

Avantages offerts par ce poste

401k matching

Mentorship

Wellness programs

Paid holidays

Résumé du poste

CrowdStrike Inc. invites you to join our Intelligence Intern program for Summer 2027 in Arlington, VA. The hybrid role blends remote work with in-person team collaboration, requiring about 40 hours per week during standard business hours.

You will engage with AI-powered intelligence pipelines, data science, and security research, contributing to impactful projects under senior mentors. Ideal candidates are penultimate-year undergraduates or master's students in CS/Engineering/Math or related

Qualifications

• Undergraduate/Masters student in penultimate year (2028 graduate) in CS, Engineering, Math or related field.
• Experience with Python, Go, Rust, or JavaScript/TypeScript.
• Comfort with Linux, Git, and modern CI/CD workflows.
• Proven ability to work independently and communicate clearly.
• Interest in AI technologies to enhance decision-making.

Responsabilités

• Choose a project aligned with interests and experience across data science, ML, infra, software eng, or security.
• Contribute to AI-assisted systems design, evaluation, and production readiness.
• Collaborate with senior data scientists, engineers, and researchers.
• Develop scalable, production-ready code and tests.

Connaissances

Python

Go

Rust

JavaScript/TypeScript

Linux

Git

CI/CD

AI technologies

Communication

Formation

Undergrad or Masters student, penultimate year (2028 graduate)

Outils

Git

CI/CD tools

Linux environments

Description du poste

CrowdStrike Inc. invites you to join our Intelligence Intern program for Summer 2027 in Arlington, VA. The hybrid role blends remote work with in-person team collaboration, requiring about 40 hours per week during standard business hours.

You will engage with AI-powered intelligence pipelines, data science, and security research, contributing to impactful projects under senior mentors. Ideal candidates are penultimate-year undergraduates or master's students in CS/Engineering/Math or related