#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We're looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.
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About the Internship:
CrowdStrike is looking to fill a Summer 2024 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.
We Offer:
- 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
- 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
- Hands on experience with Machine Learning libraries (libsvm, sklearn, etc) and/or frameworks (Tensorflow, Keras, PyTorch)
- Good understanding of basic Machine Learning Techniques (SVM, Logistic Regression etc)
- Security Enthusiast
#LI-HP1
We are committed to fostering a culture of belonging where everyone feels seen, heard, 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.
CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.