Sr. Machine Learning Engineer - ML Platform (Remote)

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. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

CrowdStrike is looking for a Sr. Machine Learning Engineer to join our growing ML Platform Engineering Team. You will be responsible for building globally distributed, fault-tolerant, and highly scalable ecosystems. You will partner with many teams across the company to provide solutions for challenging and high value projects. 

CrowdStrike is a computer security company, but we do not require candidates for this role to have prior security industry experience. We will mentor and train in security topics as needed. We do expect a strong interest in CrowdStrike's mission and a willingness to engage with the needs of our product teams and customers.

What You'll Do:

• Innovate with the state of the art machine learning technology to accelerate data science.

• Focus on scalability, and cost effectiveness.

• Implementing monitoring and providing in-depth analysis to identify potential vulnerabilities or gaps

• Create backend microservices, pinpointing and addressing critical concerns to implement effective solutions.

• Employ established CrowdStrike tools and services to build solutions for detecting and countering targeted cyber assaults.

• Construct and maintain data pipelines,and contribute to the training and implementation of custom models.

• Collaborate across various teams to brainstorm, define, and devise solutions.

• Commit to ongoing learning and self-improvement.

• Stay attuned to our customers' challenges, always seeking ways to enhance support.

• Emphasize top-tier coding quality by adhering to best practices, rigorous testing, and thorough logging and metrics.

• Work within a collaborative and agile team environment.

• Contribute to mentoring fellow engineers across a spectrum of technologies and also absorb knowledge from them.

• Constantly explore ways to refine product architecture, knowledge models, user experience, performance, and reliability.

• Own your work with autonomy, end to end: develop, test, deploy and monitor your changes.

• Thrive in an environment that highly values trust.

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Tech Stack (not mandatory to know everything; a robust learning capacity is essential):

• High level coding language such as JVM technologies or Python

• Docker

• Kubernetes

• AWS, GCP, or MaaS

• Kafka, Cassandra, and Spark

• ElasticSearch

• Terraform, Chef, or Ansible

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What You'll Need:

• Any STEM undergraduate degree

• Prior work experience with big data and microservices

• Understanding scalability and distributed systems e.g. sharding, partitioning, and concurrency

• Be a team player

• A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.

• The ability to thrive in a test-driven, collaborative, and iterative programming environment.

• The skills to meet your commitments on time and produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

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Bonus Points:

• Existing exposure to AWS and distributed systems

• Experience with Language Models, Data Science, and Data Engineering

• Prior experience in the cybersecurity or intelligence fields

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#LI-RC1

#LI-Remote

Benefits of Working at CrowdStrike:

• Remote-friendly and flexible work culture

• Market leader in compensation and equity awards

• Comprehensive physical and mental wellness programs 

• Competitive vacation and holidays for recharge  

• Paid parental and adoption leaves

• Professional development opportunities for all employees regardless of level or role

• Employee Resource Groups, geographic neighbourhood groups and volunteer opportunities to build connections

• Vibrant office culture with world class amenities

• Great Place to Work Certified™ across the globe

Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. The base salary range for this position in the U.S. is $135,000 - $215,000 per year + variable/incentive compensation + equity + benefits. A candidate's salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location.

CrowdStrike Canada ULC is committed to fair and equitable compensation practices. The base salary range for this position in Canada is $150,000 - $225,000 CAD per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location.

Expected Close Date of Job Posting is:01-06-2025