Sr. Cloud ML Engineer (Remote)

CrowdStrike is looking for a Sr. Cloud ML Engineer to join the Charlotte AI LLM Ops Engineering Team. Our new colleague will be responsible for building the LLM Ops platform which provides data scientists, software engineers, product managers and other team members with a collaborative environment that facilitates iterative data exploration and annotation for training purposes, as well as experimentation, models evaluation and monitoring of Large Language Models. You are going to develop and maintain the LLM Ops platform which facilitates continuous improvements of CrowdStrike’s Charlotte AI assistant product. Prior experience with Golang and 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:Innovate with Large Language Models to develop and refine Charlotte AI's capabilities.Construct and maintain data pipelines, engage in data upkeep, and contribute to the training and implementation of custom LLMs.Collaborate with teams of Data Scientists, Data Engineering, Product and Cloud Engineering in order to build and evolve the LLM Ops platform for LLM improvements.Improve backend microservices, pinpointing and addressing critical concerns to implement effective solutions.Employ established CrowdStrike tools and services to build cloud solutions for detecting and countering targeted cyber assaults.Collaborate across various teams to brainstorm, define, and devise solutions.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.What You'll Need:Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems)Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc.Prior experience with Large Language Models or other Machine Learning based products, or willingness and interest to learn about those.Being 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.Commitment to ongoing learning and self-improvement.Bonus Points:Existing exposure to Go, AWS, Cassandra, Kafka, ElasticsearchExperience with Language Models, Data Science, Data EngineeringPrior experience in the cybersecurity or intelligence fieldsWe 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 Recruiting@crowdstrike.com, for further assistance.

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