Sr. Machine Learning Engineer (Remote)

CrowdStrike is a global cybersecurity company that protects organizations through an AI-native security platform and large-scale distributed systems. The Senior Machine Learning Engineer will support high-throughput, low-latency LLM inferencing by developing data pipelines, contributing to LLM post-training and custom models, implementing scalable customer-facing solutions, and collaborating closely with engineering and data science teams.

Responsibilities:

• Innovate with the state of the art machine learning technology to accelerate data science
• Focus on pragmatic support for fast-moving research and development teams
• Implement high-quality solutions in support of customer-facing applications at scale
• Providing in-depth analysis to identify potential vulnerabilities or gaps
• 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

Requirements:

• • Prior work experience doing data engineering and architecture in support of advanced data science use cases
• • A deep understanding of LLM post-training methods and computational architectures
• • 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
• • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
• • Existing, demonstrable applied work in scalable architectures for LLM post-training or fine-tuning
• • Prior experience in the cybersecurity or intelligence fields