Senior Machine Learning Engineer - ML Platform

Yesterday

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Logo of CrowdStrike

CrowdStrike

Next-Generation Endpoint Protection • Endpoint Detection and Response • Next Generation Anti-Virus • Managed Threat Hunting • Incident Response

5001 - 10000

Description

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

Requirements

• 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.

Benefits

• 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 when you need to fuel innovation and collaboration

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