User Research Intern
SleeperFull Time
Internship, Entry Level & New Grad, Junior (1 to 2 years)
Austin, Texas, United States
Key technologies and capabilities for this role
Common questions about this position
Yes, the University Recruiting program offers paid positions for students and recent grads.
The internship is hybrid, requiring interns to work from the CrowdStrike Austin office two times a week for team meetings and collaboration, with the rest remote. Interns must be within travel distance from the Austin office.
Responsibilities include researching and developing technology for cybersecurity threat hunting, supporting a key machine learning project to enhance threat hunting capabilities, contributing to ongoing R&D projects, and shadowing team members.
The OverWatch Research and Development team, known as the Strategic Counter-Adversary Research (SCAR) team, consists of Engineers, Researchers, and Subject Area Experts who collaborate to conceive, design, prototype, and implement novel tooling.
Interns work 40 hours per week, Monday through Friday during standard business hours, with three cohort options: Cohort 1 (May 20 - August 7, 2026, 11.5 weeks), Cohort 2 (June 1 - August 21, 2026, 12 weeks), or Cohort 3 (June 15 - September 4, 2026, 12 weeks).
Cloud-native endpoint security solutions provider
CrowdStrike specializes in cybersecurity, focusing on protecting businesses from cyber threats through cloud-native endpoint security solutions. Their main product, the Falcon platform, includes services like Falcon Pro, which replaces traditional antivirus with next-generation antivirus that integrates threat intelligence, Falcon Insight for endpoint detection and response, and Falcon Device Control to manage connected devices. Unlike many competitors, CrowdStrike's services are subscription-based, allowing clients to choose different levels of protection based on their needs. The company serves a diverse clientele, including many Fortune 100 companies, and is recognized as a leader in the cybersecurity field, known for its effectiveness in threat detection and response.