Amazon Machine Learning Engineer AGI Information - Knowledge Graphs 

United States, California, Sunnyvale 

163820109

We're looking for candidates who combine strong software engineering fundamentals with practical ML system development experience. You'll need to demonstrate expertise in building scalable, fault-tolerant distributed systems, with a track record of shipping production services that handle large-scale workloads. While ML engineering skills are important, we prioritize candidates who understand professional software engineering practices across the full development lifecycle - from system design and coding standards to testing, deployment, and operational excellence.
Key job responsibilities- Develop and optimize LLM-assisted tools that revolutionize knowledge creation, from automated ontology generation to real-time fact extraction and verification
- Design, develop and maintain ML model serving infrastructure to enable high-throughput, low-latency inference in production environments- Develop efficient data processing pipelines to handle large-scale training and inference data
- Support experimentation and A/B testing infrastructure to evaluate model improvements
- Participate in code reviews, technical design discussions, and sprint planning to ensure high quality software delivery
- Strong understanding of ML fundamentals and common optimization techniques
- Experience with data processing and ETL pipelines at scale

- 3+ years of non-internship professional software development experience
- Bachelor's degree in computer science or equivalent
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience