Software Development Engineer - AI-First Search Relevance

Amazon Inc.; Seattle (WA); Vor Ort; USD 144.000 - 194.000; Vollzeit

Benefits dieser Stelle

Health insurance

401(k) matching

RSUs

Zusammenfassung

Amazon seeks a Software Development Engineer for Adaptive Search Relevance to build a multi-agent orchestration platform that autonomously executes ML research workflows—from hypothesis generation through production deployment—delivering relevant sponsored products at scale.

You will contribute to AI-first systems, parallelizing experiments, and ensuring reliability while improving developer experience for research teams.

Qualifikationen

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture experience for systems.
• 1+ years of software development engineer or related experience.
• 1+ years designing large-scale distributed software systems.
• 1+ years of Object Oriented Design experience.

Aufgaben

• Build and scale a multi-agent orchestration platform for research workflows from hypothesis generation to production deployment.
• Develop AI-first Auto Research systems that parallelize hypothesis testing across compute.
• Own platform reliability and developer experience including multi-tenant GPU scheduling and observability.
• Productionize LLM/VLM models with focus on efficiency and low-latency serving.
• Collaborate with scientists and engineers to design data pipelines for massive datasets and scaling ML/LLMs.
• Provide architectural guidance to ensure measurable improvements in relevance.

Kenntnisse

C#

C++

Java

OO design

Architecture

Design patterns

Ausbildung

Bachelor's degree in CS

Jobbeschreibung

Amazon seeks a Software Development Engineer for Adaptive Search Relevance to build a multi-agent orchestration platform that autonomously executes ML research workflows—from hypothesis generation through production deployment—delivering relevant sponsored products at scale.

You will contribute to AI-first systems, parallelizing experiments, and ensuring reliability while improving developer experience for research teams.