#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 is looking for a Sr. Machine Learning Engineer to join our growing ML Platform Engineering Team. Our new colleague will be responsible for building globally distributed, fault-tolerant, and highly scalable ecosystems using Large Language Models. Prior experience with LLMs is not required, but will be helpful.

　　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: Create techniques and systems for model evaluation Build metrics and KPIs Build systems to enable feature engineering Innovate with the state of the art Large Language Models to accelerate data science. Focus on scalability, and cost effectiveness. Implementing monitoring and providing in-depth analysis to identify potential vulnerabilities or gaps Advance 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 LLMs. 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.Tech Stack (not mandatory to know everything; a robust learning capacity is essential): Llama 2, Anthropic Claud 2, Sagemaker, Bedrock, or other LLM technologies JVM technologies or Python Docker Kubernetes Grafana AWS, GCP, or MaaS Kafka, Cassandra, and Spark ElasticSearch Terraform, Chef, or AnsibleWhat 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.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#LI-JP2

　　#LI-Remote

　　Benefits of Working at CrowdStrike:Remote-first cultureMarket leader in compensation and equity awards with option to participate in ESPP in eligible countriesCompetitive vacation and flexible working arrangementsPhysical and mental wellness programsPaid parental leave, including adoptionA variety of professional development and mentorship opportunitiesAccess to CrowdStrike University, LinkedIn Learning and Jhanna Offices with stocked kitchens when you need to fuel innovation and collaborationBirthday time-off in your local countryWork with people who are passionate in our mission and Great Place to Work certified across the globeWe are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.

　　CrowdStrike is committed to maintaining an environment of Equal Opportunity and Affirmative Action. If you need reasonable accommodation to access the information provided on this website, please contact [email protected] , for further assistance.