Sr. Applied Machine Learning Engineer

​​#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.

About the role:

CrowdStrike’s Data Science team sits at the exciting intersection of Machine Learning, Big Data, and Security. We are responsible for developing and improving the malware detection capabilities by employing cutting edge Machine Learning techniques. We are looking for a highly motivated Applied Machine Learning Engineer to help us grow our team.

The Applied Machine Learning Engineer is responsible for developing production ML models, as well as services and tools which will be used in fine-tuning detections within our platform, so that we can provide high quality and high fidelity detections to our customers. Additionally, you will aid in our continuous efforts of improving our Machine Learning algorithms, by reviewing their outputs and making the necessary changes. 

What You'll Do:

• Work with a team of threat researchers, data scientists, and engineers to create technology and proof of concepts for detection and prevention of current and future threats

• Create predictive models from scratch using supervised, semi-supervised or unsupervised learning techniques to detect and stop the most sophisticated threats

• Identify and prevent adversarial attacks on ML solutions

• Develop tools for task automation and services for ML model testing.

• Contribute to parsers and feature extraction tools.

What You'll Need:

• Sound understanding of standard ML algorithms, their trade-offs, their usage, and how to tune them

• Proven experience in developing automation tools and services. Strong fundamentals in problem solving and algorithm design.

• Strong programming and scripting skills. Ability to dive into large Python codebases

• Proven track record in technically leading projects and mentoring junior team members

• Strong communication and presentation skills

• Comfortable to work on very large data sets of sparse high dimensional data; experience in pre-processing and analyzing such data to gain actionable insights

• Independent self-starter who likes to take ownership and independently seeks out new challenges; Curious and methodic, always looking to identify opportunities for improvement and contributing in that direction.

Bonus Points:

•  Fundamental understanding of file formats (PE, Mach-o, ELF, PDF, etc.)

• Experience with Rust programming.

• Familiarity with Linux, Docker, Jenkins, Kubernetes and Git

• Experience with developing large scale distributed systems

• BA/BS or MA/MS degree or equivalent experience in Computer Science, Information Security, Machine Learning. 

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Benefits of Working at CrowdStrike:

• Remote-first culture

• Market leader in compensation and equity awards with option to participate in ESPP in eligible countries

• Competitive vacation and flexible working arrangements

• Physical and mental wellness programs 

• Paid parental leave, including adoption 

• A variety of professional development and mentorship opportunities

• Access to CrowdStrike University, LinkedIn Learning and Jhanna

• Offices with stocked kitchens when you need to fuel innovation and collaboration

• Birthday time-off in your local country

• Work with people who are passionate in our mission and Great Place to Work certified across the globe