As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Our University Recruiting program is dedicated to attracting and cultivating the future leaders of this industry. This program offers paid positions for students and recent grads, designed to provide exposure to work that makes an impact while being supported through a structured experience with seasoned professionals. Ready to join a mission that matters? The future of cybersecurity starts with you.
About The Role:
CrowdStrike’s CTO Labs team works at the exciting intersection of Artificial Intelligence and Machine Learning, Big Data, and Security. We’re excited to renew our internship program this summer. You will have the opportunity to apply your computational, coding, mathematical and scientific research skills to solve cutting problems from a wide array of areas such as: New frontiers in Cybersecurity, Threat Detection and Prevention, and End-to-End Automation. We are a multidisciplinary team, and you’ll have the chance to broaden your horizons by working jointly with a team of Big Data, Machine Learning, and Security domain experts on hard and impactful problems.
Location & Work Arrangement:
FULLY REMOTE: This role is fully remote and requires no travel. Your work location is the city/town/province you will be working from remotely. For our 12-week internship program, interns are allowed to work remotely from an alternative location for up to 2 weeks. Interns are also invited to work out of the CrowdStrike office located closest to their remote location.
Time Commitment:
Interns are expected to work 40 hours per week, Monday through Friday, during standard business hours.
Start & End Dates:
Cohort 1: Wednesday, May 20 - Friday, August 7, 2026 (11 ½ Weeks)
Cohort 2: Monday, June 1 - Friday, August 21, 2026 (12 Weeks)
Cohort 3: Monday, June 15 - Friday, September 4, 2026 (12 Weeks)
What You’ll Do:
- Work directly with Sr. Data Scientists, helping to create and automate predictive machine learning models
- Hone your ability to balance detail-oriented research with goal-oriented business objectives
- Implement and experiment with new algorithms and methodologies to help improve our machine learning models
- Automate an visualize analyses, results and processes in our machine learning pipeline
- Candidate is a PhD-level computer science, data science student or related field, graduating between December 2026 - August 2027
- Analytically minded with completed coursework in linear algebra and data science or an equivalent knowledge of applied mathematics
- Experienced in writing python code to pre-process and analyze data to generate actionable insights
- Hands on in your approach to understanding data and learning about new fields
- Thirsty for knowledge and do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts
- Comfortable with working in a Linux environment
- Bonus points for coursework or previous experience in computer security.
- Market leader in compensation and equity awards
- Paid holidays (including birthday holidays) and 401k matching (where applicable)
- Professional development opportunities including workshops, tech talks, and Executive Speaker Series
- Assigned mentors from across the company for continuous support and feedback
- Participation in companywide initiatives including FalconFIT, Wellness Programs, and Employee Assistance Program
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Ownership of impactful projects that move the company forward
- Great Place to Work Certified™ across the globe
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.
Find out more about your rights as an applicant.
CrowdStrike participates in the E-Verify program.
Notice of E-Verify Participation
Right to Work
CrowdStrike, Inc. is committed to fair and equitable compensation practices. The hourly rate for this position for all U.S. candidates is $38 - $45
Expected Close Date of Job Posting is:03-30-2026,
What You’ll Need:
- Candidate is a PhD-level computer science, data science student or related field, graduating between December 2026 - August 2027
- Analytically minded with completed coursework in linear algebra and data science or an equivalent knowledge of applied mathematics
- Experienced in writing python code to pre-process and analyze data to generate actionable insights
- Hands on in your approach to understanding data and learning about new fields
- Thirsty for knowledge and do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts
- Comfortable with working in a Linux environment
- Bonus points for coursework or previous experience in computer security.
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