Hire Kyle L. - MLOps Engineer

* Global Ads Infrastructure - ML Ops * Owns reliability for PB-scale data pipelines across 7 data centers, supporting critical ads recommendation systems * Leads the design and development of a resource management platform for ads training data, which is designed to save $10M+ per year on data storage costs * Designed and built service-level observability and capacity-inspection systems spanning all production regions and 5 key services, unifying service metadata, runtime metrics, and infrastructure mappings through shared APIs

* Design and build scalable ML pipelines with Python and MLflow, automating workflows for large-scale time-series data and reducing retraining cycles with continuous training * Led data storage migration from millions of local files to Google BigQuery, optimizing data ingestion and reducing feature loading time * Managed core battery algorithms codebase and CI/CD pipelines for production deployment in the cloud

* Battery Algorithm Development Team * Build ML pipelines using Python and MLflow for systematic model retraining and benchmarking in both local machines and cloud. * Expedite algorithm development cycles by developing web applications (full-stack) using Python (Plotly Dash) for data visualization and annotations * Manage core battery algorithms codebase and CI/CD pipelines for production in the cloud * Develop data dashboards and pipelines for monitoring R&D project on battery long-term degradation