Software Development Engineer (Data/ML), AGI Information - Knowledge Graphs

Amazon.com Services LLC • Full-time • Bellevue, Washington State, United States • $129.30k - $223.60k / year • 2d ago

DESCRIPTION

The Amazon Knowledge Graph (AKG) team 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 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. 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 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
Develop and optimize LLM-assisted tools that revolutionize knowledge graph creation, from automated ontology generation to real-time fact extraction and verification
Architect AI/ML systems that power our billion-entity knowledge graph, transforming raw data into intelligent, interconnected information at scale
Release and maintain ML model infrastructure to enable high-throughput, low-latency inference in production environments
Collaborate with applied scientists to productionize ML models, and deliver new architectures for knowledge mining and graph construction

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
Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
Experience with data processing and ETL pipelines at scale (Spark, GlueJob, Kafka)

PREFERRED QUALIFICATIONS

Master's degree in computer science or equivalent
Experience with Graph Databases like Amazon Neptune, Neo4J, etc., LLM inference optimization, working with scientists
Experience with building Knowledge Graph and Graph Databases like Amazon Neptune, Neo4J, etc,
Experience with building agent based on LLM, prompt engineering, and ML model inference optimization
Experience working alongside applied scientists

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.

Never Miss a New Opportunity

Subscribe and get the latest jobs directly to your inbox

Get a

Lensa • Full-time • Seattle, WA, US • 2d ago

Data Engineering

2d ago

Apply

Data Engineer - Consultant

Slalom Consulting • Seattle, Washington State, United States • $119k - $147.50k / year • 3d ago

Data Engineering

3d ago

Apply