Reddit

Staff Machine Learning Engineer focused on leading the development of a large-scale, highly available, low-latency GPU-based model serving system for search, ranking, and LLMs, supporting millions of QPS. The role involves designing and developing ML and Generative AI systems in cloud-based production environments on Kubernetes, building high-performance feature hydration and processing systems, and leading a unified GPU model export framework. Requires strong understanding of real-time ML observability and experience with LLM serving online at scale.

Senior Staff Software Engineer for Reddit's ML Indexing & Retrieval Platform team, focusing on building and scaling infrastructure for ML-driven recommendations, data ingestion, low-latency retrieval, and GenAI applications. The role involves leading technical strategy, architecture, and implementation of next-generation systems, partnering with product engineers, defining best practices for observability and reliability, and mentoring other engineers.

Staff ML Systems Engineer to lead development of a platform for large scale ML models at Reddit, focusing on MLOps, graph ML, performance tuning, and data processing pipelines.

Senior Machine Learning Systems Engineer to lead development of a platform for large scale ML models at Reddit, focusing on MLOps, graph ML codebase, performance tuning, and optimizing batch data processing. Requires 5+ years of experience in ML infrastructure, model training/deployment, and cloud technologies.

Staff Software Engineer, ML Search at Reddit, focusing on building backend and pipeline systems that integrate ML models into production search experiences for millions of daily users. The role involves owning data flows, ranking and retrieval services, and low-latency model-serving APIs, ensuring scalability, maintainability, and performance.