Applied Machine Learning Engineer II (EMEA, Remote)

#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team transformed the game. Since our inception, our pioneering cloud-native platform has consistently offered unmatched protection against the most sophisticated cyberattacks. We're searching for individuals with boundless enthusiasm, a tenacious focus on innovation, and an absolute dedication to the customer to join us in sculpting the future of cybersecurity. Regularly recognized as a premier workplace, CrowdStrike is dedicated to nurturing an inclusive, remote-first environment that provides workers the autonomy and flexibility to balance the demands of work and life while advancing their careers. Interested in working for a company that sets the bar and embodies integrity? Join us on a mission that matters - one team, one fight. About the Role: The CrowdStrike Data Science Team is seeking a driven professional with a wide-ranging knowledge encompassing Machine Learning, security, and engineering. The team is committed to enhancing the detection capacity and efficiency of the Falcon platform by employing Machine Learning algorithms to identify various types of attacks. The Applied Machine Learning Engineer II is responsible for training ML models, developing services and tools, and refining detections within our platform, allowing us to offer high standard and high accuracy detections to our customers. Moreover, you will contribute to our constant efforts to improve our Machine Learning algorithms by examining their results and providing data scientists with security insights. You will: Work with a team of threat researchers, data scientists, and engineers to produce technology and proof of concepts for detection and prevention of current and future threats Develop tools for automating tasks and services for ML model testing. Create predictive models using supervised, semi-supervised, or unsupervised learning techniques to detect and halt the most sophisticated threats Analyze file formats, and contribute to parsers and feature extraction tools. Requirements: Demonstrated experience in developing automatic tools and services. Solid fundamentals in problem-solving and algorithm design. Familiarity with Linux, Docker, Jenkins, and Git Strong programming and scripting skills. Ability to dive into a large Python codebase Good understanding of standard ML algorithms, their trade-offs, their applications, and how to optimize them Comfortable working with very large data sets of sparse high dimensional data; experience in preprocessing and analyzing such data to derive actionable insights Ability to implement small projects with input from others Good communication and presentation skills Preferred: Fundamental understanding of file formats (PE, Mach-o, ELF, PDF, etc.) Experience with Rust programming. Experience with developing large scale distributed systems Experience with Kubernetes BA/BS or MA/MS degree or equivalent experience in Computer Science, Information Security, Machine Learning. What we offer: Remote Work Competitive salary Stock options Private Healthcare insurance Life insurance Training budget Working with the latest technologies Flexible time off Team hangouts #LI-Remote #LI-HP1 Benefits of Working at CrowdStrike: Remote-first culture Market leader in compensation and equity awards Competitive vacation and flexible working arrangements Comprehensive and inclusive health benefits Physical and mental wellness programs Paid parental leave, including adoption A variety of professional development and mentorship opportunities Offices with stocked kitchens to facilitate innovation and collaboration We are dedicated to fostering a culture of inclusion 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 produce our best work and spur innovation - generating the best possible outcomes for our customers and the communities they serve.