Software Dev Engineer (ML), AGI Information - Knowledge Graphs

Amazon's AGI Information team is seeking a Machine Learning Engineer to join their Amazon Knowledge Graph (AKG) team, focusing on revolutionizing knowledge graphs for the LLM era. This role combines software engineering excellence with machine learning expertise, working on sophisticated ML models and pipelines that enable efficient LLM grounding. The position involves building highly scalable training and inference systems processing massive knowledge graph datasets, working closely with applied scientists to transform prototypes into production-ready systems. The role requires expertise in distributed systems, professional software engineering practices, and ML system development. You'll be responsible for developing high-throughput, low-latency entity resolution systems, implementing model improvements, and creating efficient data processing pipelines. The position offers competitive compensation ranging from $129,300 to $223,600 based on location, plus equity and comprehensive benefits. This is an opportunity to work at the intersection of cutting-edge AI technology and large-scale distributed systems at one of the world's leading tech companies.