Software Development Engineer , Adaptive Search Relevance at Amazon
Seattle, WA
$143,700–$223,600from the description
Jul 10, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
This role centers on building a multi-agent orchestration platform that automates ML research workflows — spanning hypothesis generation, experiment design, model training, evaluation, and production deployment — for a sponsored products search relevance team. The work involves LLM/VLM productionization, GPU scheduling, data pipelines for large-scale datasets, and developer tooling. It suits engineers with distributed systems experience who want to work at the intersection of generative AI and large-scale ML infrastructure.
Senior level · 3+ years · Seattle-Tacoma-Bellevue, WA · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 5,700 people in the Seattle-Tacoma-Bellevue, WA area plausibly meet what this posting asks for (software developers). range 4,300–7,400
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
What the occupation pays Median $170,959 (middle half $135,720–$216,519). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The posting lists two salary bands: $165,200–$223,600/yr for Palo Alto, CA and $143,700–$194,400/yr for Seattle, WA. The lower (Seattle) range is reported in the compensation fields; the Palo Alto range should also be considered when evaluating California-based candidates.
The role is classified as Software Developers (15-1252) rather than Data Scientists (15-2051) because the primary deliverable is an engineering platform (multi-agent orchestration, LLM serving infrastructure, data pipelines) rather than ML modeling or research itself. However, the heavy ML/LLM infrastructure focus makes 15-2051 a plausible runner-up.
The Basic Qualifications gate on C#, C++, Java, or Perl as interchangeable options for the language requirement — C# is listed as the primary with the others as alternatives.
ML/LLM knowledge (transformer architecture, training/inference, optimization) and AI agent development experience appear only under Preferred Qualifications, so they are marked as preferred despite being central to the role's narrative.
A Bachelor's degree in computer science is listed under Preferred Qualifications only, so the degree requirement is set to None.
The job title carries no explicit seniority level; the title states no level. The actual requirements (3+ years, architectural ownership, technical leadership) support a Senior classification.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): object-oriented design, multi-agent orchestration, transformer architecture.
Read the full posting
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