Intelligence Intern - Summer 2027

CrowdStrike•Arlington, VA
•Hybrid

About The Position

CrowdStrike’s Intelligence Automation team builds and operates systems for collecting, processing, and exploring information at scale. The team works across data science and machine learning, platform and infrastructure engineering, software engineering, and security research, using AI to build reliable systems that perform real work. Interns choose a project suited to their preferences and experience, with work potentially spanning AI and data science, infrastructure and platform engineering, software engineering, or security research. The internship is hybrid, with remote work and three days of in-person attendance at CrowdStrike’s Arlington office. Interns work 40 hours per week, Monday through Friday, during standard business hours. The program offers paid student positions and a structured experience supported by experienced professionals. Two date ranges are listed: June 2–August 20, 2027, or June 14–September 3, 2027.

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 systems around AI by considering interfaces, test suites, failure modes, and quality gates when AI acts on real tasks.
  • Communicate technical details simply and in a top-down manner.
  • Independently make sound, justifiable decisions and take action.
  • Plan, organize, and prioritize work independently and meet deadlines.
  • Be able to work unsupervised, communicate asynchronously, and maintain communication in a globally distributed team.

Nice To Haves

  • Interest in the latest technologies in the candidate’s field of expertise.
  • Self-motivation and an active interest in personal growth.
  • A problem-solving, can-do attitude and enthusiasm for interesting challenges.
  • A strong sense of responsibility for the quality and correctness of AI-produced work.

Responsibilities

  • Choose and complete a project in an area such as data science and AI, infrastructure and platform engineering, software engineering, or security research.
  • Architect AI-assisted systems by defining how AI components integrate with tools, data sources, and one another, and how their outputs are verified.
  • Learn and apply production practices for AI workflows, including evaluation, monitoring, failure handling, and continuous improvement.
  • Work directly with Senior Data Scientists, Engineers, and Researchers.
  • Communicate asynchronously and take initiative in maintaining communication with coworkers on a globally distributed team.
  • Plan, organize, and prioritize work independently, make sound decisions, and meet deadlines.

Benefits

  • Market-leading compensation and equity awards.
  • Paid holidays, including birthday holidays.
  • 401k 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 that move the company forward.
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