Software Development Engineer — Personalization Memory Engine

Amazon; Seattle, Northern (WA, KY); Hybrid; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Software Development Engineer for the Personalization team focused on building memory-enabled AI systems at scale. Join a fast-moving team to ship production code within weeks.

You will design distributed systems, implement knowledge retrieval, and work with scientists to integrate novel approaches into production. Strong emphasis on architecture, data models, and cross-domain collaboration.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture experience of new and existing systems.
• 1+ years of software development engineer or related occupational experience.
• 1+ years of designing and developing large-scale, multi-tiered distributed software applications.
• 1+ years of Object Oriented Design experience.

Responsibilities

• Design and build scalable distributed systems that capture, structure, and retrieve knowledge in real time.
• Implement intelligent retrieval and ranking capabilities with sub-second latency.
• Create APIs and data models for access to structured memory across contexts.
• Develop pipelines for processing real-time event streams and batch data.
• Build systems with proper access controls to keep knowledge current and appropriate.
• Collaborate with Applied Scientists to integrate knowledge extraction approaches.
• Work on cross-domain knowledge reconciliation across tools and teams.
• Contribute to feedback loops to compound system value.

Skills

C++

C#

Java

Perl

Object Oriented Design

Knowledge graphs

Information retrieval systems

LLM integration patterns

Distributed systems

Education

Bachelor's degree in Computer Science

Bachelor's degree in related field

Job description

Amazon is seeking a Software Development Engineer for the Personalization team focused on building memory-enabled AI systems at scale. Join a fast-moving team to ship production code within weeks.

You will design distributed systems, implement knowledge retrieval, and work with scientists to integrate novel approaches into production. Strong emphasis on architecture, data models, and cross-domain collaboration.