Senior Machine Learning Systems Engineer at Reddit

This role is for a seasoned infrastructure expert with five or more years of experience who has a deep understanding of MLOps and distributed training. You should have a strong background in optimizing GPU performance and scaling massive graph data structures for recommendations and discovery. **What makes it worth a look...** The compensation is exceptionally high for a fully remote position, reaching up to $303,400 in base pay plus equity. It is a rare chance to architect 0-to-1 graph ML systems at one of the internet's most massive data scales using a modern GCP, Ray, and Kubernetes stack. **You might be a good fit if you...** * Have built and maintained graph data structures with billions of nodes and edges. * Can navigate ML frameworks like PyTorch and profiling tools to fix GPU bottlenecks. * Are experienced with infrastructure-as-code and cloud-native tools like BigQuery and Terraform. * Have worked with Graph Neural Networks or specialized libraries like PyTorch Geometric.