About the Internship

CrowdStrike is looking to fill a Summer 2022 Internship with our Machine Learning team. You will have the opportunity to apply your coding, mathematical and scientific research skills to the bleeding edge of security technology.

CrowdStrike’s cybersecurity data is one-of-a-kind: we process over 300 billion behavioural 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, Scala (Apache Spark) 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

You will:

• Work directly with Sr. Data Scientists, helping to create predictive machine learning models that help detect and stop today's most sophisticated threats
• 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 and visualise analyses, results and processes in our machine learning pipeline

What You'll Need:

• 3rd or final year Computer Science student (also will consider those working towards a Master/PhD)
• Analytical mindset with understanding of linear algebra and statistics OR an equivalent knowledge of applied mathematics
• 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 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

What You Can Expect:

• Executive Speaker Series & Tech Talks Fun socials and give-back events (e.g. virtual trivia, escape rooms, etc.)
• Development workshops to grow your soft and hard skills
• Networking opportunities with fellow interns and CrowdStrikers
• Owning impactful projects that move the company forward
• Working alongside a diverse and global team