We’re building systems to collect massive datasets, train models, and host them for inference. As a Platform Engineer, you’ll develop infrastructure that supports millions of files, billions of vectors, and countless log messages left behind in code review. You will build robust systems for data storage, retrieval, and processing, all within our monorepo environment. Own the reliability and observability stack that keeps our ML and analysis pipelines fast, secure, and reliable. Optimize cloud infrastructure for cost efficiency, scalability, and performance across storage, compute, and networking layers. Build monitoring systems that balance performance and stability under mission-critical workloads. Design and manage end-to-end ML pipelines, from dataset ingestion and preprocessing to model training, validation, and deployment, ensuring the deployment of scalable and high-performance models.