Machine Learning Engineer, AGI Information - Knowledge Graphs

Description

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

• 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

• 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

• 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: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.