CrowdStrike-posted 10 months ago
$135,000 - $215,000/Yr
Full-time • Mid Level
Remote
Professional, Scientific, and Technical Services

We seek a Senior Machine Learning Engineer to advance our ML Platform Engineering initiatives. In this role, you'll architect and build globally distributed, fault-tolerant systems that scale across our enterprise. You'll collaborate with cross-functional teams to deliver high-impact solutions that strengthen our cybersecurity capabilities. Prior cybersecurity experience is not required. We provide comprehensive security domain training and mentorship.

  • Design, implement, and maintain CI/CD pipelines and automation processes
  • Collaborate with data scientists to integrate CI/CD into development workflows
  • Identify and implement opportunities for process automation and improvement
  • Enforce and implement security measures across repositories
  • Innovate with the state of the art machine learning technology to accelerate data science
  • Focus on scalability, and cost effectiveness
  • Set up alerts and dashboards to proactively address performance and reliability issues
  • Implement monitoring and provide in-depth analysis to identify potential vulnerabilities or gaps
  • Employ established CrowdStrike tools and services to build solutions for detecting and countering targeted cyber assaults
  • 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
  • Any STEM undergraduate degree
  • Prior work experience with big data and microservices
  • Understanding scalability and distributed systems e.g. sharding, partitioning, and concurrency
  • 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
  • Existing exposure to AWS and distributed systems
  • Experience with Language Models, Data Science, and Data Engineering
  • Prior experience in the cybersecurity or intelligence fields
  • 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
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