Machine Learning Engineer, AGI Information - Knowledge Graphs

Machine Learning Engineer, AGI Information - Knowledge Graphs

Amazon's AGI Information is seeking an exceptional Software Engineer to drive ML systems development in the Amazon Knowledge Graph (AKG) team. AKG is re-inventing knowledge graphs for the LLM-era, developing sophisticated ML models and pipelines that enable efficient LLM grounding and power LLM-based customer experiences.

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 include:

• Architect AI/ML systems that power our billion-entity knowledge graph, transforming raw data into intelligent, interconnected information at scale
• 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
• Collaborate with applied scientists to productionize ML models, including implementing model improvements and new architectures for knowledge mining and graph construction
• 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

Basic Qualifications

The ideal candidate will have:

• 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
• Experience with ML systems

Preferred Qualifications

Preferred qualifications include:

• Master's degree in computer science or equivalent
• Experience with Graph Databases like Amazon Neptune, Neo4J, etc.
• Experience with ML systems, Model compilation, Triton, TensorRT, LLM inference optimization

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following all federal, state, and local laws and Company policies.

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