Applied Machine Learning Internship - Summer 2025 (Remote, ROU)

About the Role:

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 an inclusive 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 Internship:

CrowdStrike is looking to fill a Summer 2025 Internship with our Applied Machine Learning team. The team is focused on improving the detection capability and efficiency of the Falcon platform through employing Machine Learning algorithms to detect different types of attacks.  You will have the opportunity to apply your coding and machine learning skills to the bleeding edge of security technology.

CrowdStrike’s cybersecurity data is one-of-a-kind: we process over 300 billion behavioral events per day, and have more than 1 petabyte of malware samples in our research repository.

We are a diverse and 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 challenging and impactful problems. You will gain valuable experience in a fast-paced high-growth environment.

What You'll Do:

• Ongoing learning and development opportunities. The opportunity to leverage the AWS cloud stack for extracting features and deploying state-of-the art ML malware classifiers that learn from extremely large amounts of sample files.

• Develop Machine Learning expertise and coding skills - we use Python, Sklearn, XGBoost and related Deep Learning frameworks (Tensorflow, Keras, Pytorch); we use Git versioning control, Continuous Integration and Docker to deploy our models in the cloud.

• Assigned Mentor

• Virtual/Remote Internship with flexible working hours

• Global Intern Events, Socials, Swag & International Workshops

• Work directly with Sr. Applied Machine Learning Engineers, helping to create predictive machine learning models and tooling to improve the existing models so that we will continue to detect and stop today's most sophisticated threats

• Implement and experiment with new algorithms and methodologies to help improve our machine learning models

• Automate and visualize analyses, results, and processes in our machine learning pipeline

What You'll Need:

• 3rd or final year Computer Science student (also will consider Master/PhD students)

• Good understanding of basic ML algorithms and techniques and their tradeoffs

• Experience 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

• Passionate to develop your knowledge and learn new technologies, algorithms and concepts

• Experience with working in a Linux environment

• Good verbal and written communication skills in English

Bonus Points:

• Hands on experience with traditional Machine Learning libraries (xgboost, sklearn, etc) and/or deeplearning frameworks (Tensorflow, Keras, PyTorch)

• Good understanding of basic Machine Learning Techniques (SVM, Logistic Regression etc)

• Security Enthusiast

#LI-HP1

#LI-Remote

What You Can Expect:

• Remote-friendly and flexible work culture

• Market leader in compensation and equity awards

• Paid holidays (including birthday holidays) and 401k matching

• 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 ERGs, FalconFIT, Wellness Programs, and Employee Assistance Program

• Employee Resource Groups, geographic neighbourhood 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 proud to be an equal opportunity and affirmative action employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 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 [email protected] for further assistance.