CrowdStrike
Next-Generation Endpoint Protection • Endpoint Detection and Response • Next Generation Anti-Virus • Managed Threat Hunting • Incident Response
Senior Engineer - ML Platform
November 27
Airflow
Apache
Cloud
Cyber Security
Distributed Systems
Google Cloud Platform
GRPC
Java
Jenkins
Kubernetes
Python
Ray
Scala
Spark
Terraform
Go
CrowdStrike
Next-Generation Endpoint Protection • Endpoint Detection and Response • Next Generation Anti-Virus • Managed Threat Hunting • Incident Response
Description
• Help design, build, and facilitate adoption of a modern Data+ML platform • Modularize complex ML code into standardized and repeatable components • Establish and facilitate adoption of repeatable patterns for model development, deployment, and monitoring • Build a platform that scales to thousands of users and offers self-service capability to build ML experimentation pipelines • Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and ML pipelines • Review code changes from data scientists and champion software development best practices • Leverage cloud services like Kubernetes, blob storage, and queues in our cloud first environment
Requirements
• B.S. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field and 10+ years related experience; or M.S. with 8+ years of experience; or Ph.D with 6+ years of experience. • 3+ years experience developing and deploying machine learning solutions to production. • Familiarity with typical machine learning algorithms from an engineering perspective; familiarity with supervised / unsupervised approaches. • 3+ years experience with ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI etc. • Experience building data platform product(s) or features with Apache Spark, Flink or comparable tools in GCP. • Experience with Iceberg is highly desirable. • Proficiency in distributed computing and orchestration technologies. • Production experience with infrastructure-as-code tools such as Terraform, FluxCD. • Expert level experience with Python; Java/Scala exposure is recommended. • Ability to write Python interfaces to provide standardized and simplified interfaces for data scientists to utilize internal Crowdstrike tools. • Expert level experience with CI/CD frameworks such as GitHub Actions. • Expert level experience with containerization frameworks. • Strong analytical and problem solving skills. • Exceptional interpersonal and communication skills.
Benefits
• Remote-first culture • Market leader in compensation and equity awards with option to participate in ESPP in eligible countries • Competitive vacation and flexible working arrangements • Physical and mental wellness programs • Paid parental leave, including adoption • A variety of professional development and mentorship opportunities • Access to CrowdStrike University, LinkedIn Learning and Jhanna Offices with stocked kitchens when you need to fuel innovation and collaboration • Birthday time-off in your local country • Work with people who are passionate in our mission and Great Place to Work certified across the globe
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