Overwatch Intern - Research - Summer 2027

CrowdStrike•Arlington, VA
•Hybrid

About The Position

CrowdStrike’s Strategic Counter-Adversary Research (SCAR) team conducts applied research to improve the company’s ability to expose and counter adversary activity. The team develops novel detection technologies and tools that improve analyst workflows, with engineers, researchers, and subject matter experts collaborating to conceive, design, prototype, and implement new tools. The Research Intern will participate in innovation research and prototype development, supporting cybersecurity threat hunting and a machine-learning project. The internship is hybrid and based at CrowdStrike’s Austin, Texas, or Arlington, Virginia, office. Interns work 40 hours per week, Monday through Friday, during standard business hours, with in-person attendance required for team meetings, collaboration sessions, and other events. The posting gives differing in-office expectations: the location section says three days in person, while the role section says two days in the office. Three cohorts are listed: May 26–August 13, June 2–August 20, and June 14–September 3, 2027.

Requirements

  • Must be currently pursuing a bachelor’s degree and graduating in 2028.
  • Demonstrated passion for cybersecurity, shown through a relevant major, coursework, or extracurricular activities.
  • Programming experience.
  • Ability to quickly learn technical concepts related to operating systems, networking, and cloud technologies.
  • Strong work ethic and ability to work both independently and as part of a team.
  • Self-motivation and willingness to seek growth opportunities and rapidly develop skills.
  • Ability to complete technical tasks with minimal supervision.
  • Interest in developing technical and soft skills and pursuing a career in cybersecurity and/or security engineering.
  • Willingness to build, improve, and innovate solutions to technical problems.
  • Proven experience using AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes.
  • Ability to contribute to a positive work environment with a can-do attitude.

Nice To Haves

  • Coursework or personal projects.
  • Experience with Python, Go, or Java; data-analysis languages such as R may also be considered.
  • Data-analysis or machine-learning experience.
  • Understanding of machine-learning concepts and their security applications.
  • Experience with security analytics platforms or SIEM technologies.
  • Familiarity with attack frameworks such as MITRE ATT&CK.
  • Knowledge of cloud-security concepts.
  • Experience with automation frameworks and orchestration tools.
  • Investigative mindset and desire to identify and stop malicious activity.
  • Keeping up with current vulnerabilities and breaches.
  • Comfort with command-line interfaces on Windows, Linux, or macOS.
  • Experience with data-analysis and visualization tools.
  • Front-end or back-end software development experience.
  • Familiarity with tools and strategies for rapidly analyzing large log sets, such as Splunk or ELK.

Responsibilities

  • Research and develop technology to support cybersecurity threat hunting.
  • Support a key machine-learning project focused on enhancing threat-hunting capabilities.
  • Contribute to ongoing R&D team projects as required.
  • Shadow team members to learn about threat-hunting methodologies.
  • Develop prototypes and participate in innovation research.

Benefits

  • Paid holidays, including a birthday holiday.
  • 401(k) matching where applicable.
  • Professional development opportunities, including workshops, tech talks, and an Executive Speaker Series.
  • Assigned mentors from across the company for 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.
  • Opportunity to own impactful projects.
  • Paid internship position.
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