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.