Amazons AGI Information is seeking an exceptional Machine Learning Engineer to drive ML systems development in the Amazon Knowledge Graph (AKG) team. AKG is reinventing knowledge graphs for the LLMera developing sophisticated ML models and pipelines that enable efficient LLM grounding and power LLMbased customer experiences.
As an ML Engineer on the AKG team youll design and implement highly scalable training and inference systems that process massive knowledge graph datasets. Working closely with applied scientists youll be responsible for transforming prototype models into productionready systems optimizing training pipelines and building efficient serving infrastructure that enhances how Amazons knowledge graph interacts with LLMs across the company.
Were looking for candidates who combine strong software engineering fundamentals with practical ML system development experience. Youll need to demonstrate expertise in building scalable faulttolerant distributed systems with a track record of shipping production services that handle largescale 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
Design develop and maintain ML model serving infrastructure to enable highthroughput lowlatency entity resolution predictions in production environments
Collaborate with applied scientists to productionize ML models including implementing model improvements and new architectures for entity matching and deduplication
Develop efficient data processing pipelines to handle largescale training and inference data for entity resolution models
Support experimentation and A/B testing infrastructure to evaluate model improvements
Work closely with downstream engineering teams to integrate entity resolution capabilities into various product surfaces
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 noninternship professional software development experience
Bachelors degree in computer science or equivalent
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Proven experience designing and implementing scalable faulttolerant distributed systems with focus on performance reliability and operational excellence
Masters degree in computer science or equivalent
Strong background in eventdriven architectures distributed caching REST APIs vector search and data processing patterns (CDC streaming)
Deep experience with core AWS services including DynamoDB ElastiCache Lambda S3 OpenSearch and infrastructureascode (CDK/CloudFormation)
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 Companys 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 $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.