Software Development Engineer , Adaptive Search Relevance
Core
Build a multi-agent orchestration platform that autonomously executes ML research workflows from hypothesis generation to production deployment for Amazon's Sponsored Products Search Relevance.
Role type
Senior IC software development engineer (multi-agent orchestration & ML infrastructure)
Builds
Multi-agent orchestration platform, AI-first Auto Research systems, LLM/VLM serving infrastructure, data pipelines for massive datasets
Domain
E-commerce advertising, Generative AI, Large-scale ML infrastructure
Deliverable
production ML models | infrastructure
Required skills
C#, C++, Java, or Perl; Object Oriented Design; Large-scale distributed software application design; System architecture and scaling; Multi-tiered system development
Preferred skills
Full SDLC experience; Machine Learning and LLM fundamentals (transformer architecture, training/inference lifecycles); Managed ML/AI solutions experience
Technologies
C#, C++, Java, Perl, LLMs, VLMs, GPU scheduling, Observability frameworks
Responsibilities
Build and scale multi-agent orchestration platform with fault tolerance and cost controls; Develop AI-first Auto Research systems for parallelized hypothesis testing; Own platform reliability including multi-tenant GPU scheduling and eval frameworks; Productionize LLM/VLM models for efficiency and low-latency serving; Design and build data pipelines for massive datasets; Provide architectural guidance for measurable relevance improvements
