Intelligence Intern - Summer 2027

CrowdStrike•Arlington, VA
•Hybrid

About The Position

CrowdStrike’s Intelligence Automation team builds and operates systems that support the large-scale collection, processing, and exploration of intelligence. The team works across data science and machine learning, platform and infrastructure engineering, software engineering, and security research, using AI to build reliable systems for real-world tasks. Interns select a project based on their interests and experience and work with senior data scientists, engineers, and researchers. The internship is hybrid, with remote work and three in-person days per week at CrowdStrike’s Arlington office. Interns work 40 hours per week, Monday through Friday, during standard business hours. Two date ranges are listed: June 2–August 20, 2027, or June 14–September 3, 2027. The University Recruiting program provides paid student and recent-graduate roles with structured support from experienced professionals.

Requirements

  • Be an undergraduate or master’s student in the penultimate year of study, graduating in 2028, in computer science, engineering, mathematics, or a related field.
  • Have solid knowledge and experience in at least one of Python, Go, Rust, JavaScript, or TypeScript.
  • Be comfortable working in a Linux environment with Git and modern CI/CD.
  • Have proven experience using AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes; be able to show repositories, workflows, or projects where AI agents performed substantial work.
  • Be able to design around AI by considering interfaces, test suites, failure modes, and quality gates when AI systems perform real tasks.
  • Communicate technical details in a simple, top-down manner.
  • Independently make sound, justifiable decisions and take action.
  • Plan, organize, and prioritize work independently and meet deadlines.
  • Work 40 hours per week, Monday through Friday, during standard business hours, and attend the Arlington office in person three days per week.

Nice To Haves

  • Interest in the latest technologies in the candidate’s area of expertise.
  • A self-motivated approach and interest in seeking opportunities to grow.
  • A problem-solving, can-do attitude and interest in challenging work.
  • A strong sense of personal responsibility for the correctness and quality of AI-produced work.

Responsibilities

  • Choose and complete a project in data science and AI, infrastructure and platform engineering, software engineering, or security research.
  • Architect AI-assisted systems, defining how AI components integrate with tools, data sources, and one another, and how their output is verified.
  • Learn and apply practices for operating AI workflows in production, including evaluation, monitoring, failure handling, and continuous improvement.
  • Work directly with senior data scientists, engineers, and researchers.
  • Work independently, communicate asynchronously, and maintain communication with a globally distributed team.

Benefits

  • Paid holidays, including birthday holidays.
  • 401(k) matching, where applicable.
  • Professional development opportunities, including workshops, tech talks, and an Executive Speaker Series.
  • Assigned mentors from across the company for ongoing support and feedback.
  • Participation in companywide initiatives, including FalconFIT, wellness programs, and the Employee Assistance Program.
  • Employee Networks, geographic neighborhood groups, and volunteer opportunities.
  • Vibrant office culture with world-class amenities.
  • Ownership of impactful projects.
  • Compensation and equity awards.
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