Description Amazon's AGI Information is seeking an exceptional Machine Learning 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. As an ML Engineer on the AKG team, you'll design and implement highly scalable training and inference systems that process massive knowledge graph datasets. Working closely with applied scientists, you'll be responsible for transforming prototype models into production-ready systems, optimizing training pipelines, and building efficient serving infrastructure that enhances how Amazon's knowledge graph interacts with LLMs across the company. 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 - Design, develop and maintain ML model serving infrastructure to enable high-throughput, low-latency 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 large-scale 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 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 - Proven experience designing and implementing scalable, fault-tolerant distributed systems with focus on performance, reliability, and operational excellence Preferred Qualifications - Master's degree in computer science or equivalent - Strong background in event-driven 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 infrastructure-as-code (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 Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.