Mountain View, CA

Salary
$161,300–$274,200from the description
Posted
Jul 15, 2026
Location
Mountain View, CA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

This role focuses on improving the search and answer-ranking capabilities of an enterprise question-answering platform. Day-to-day work involves building and refining ranking features, designing experimentation frameworks, developing evaluation metrics, and analyzing query logs to close gaps in search quality. It suits engineers with a background in information retrieval, text processing, or machine learning-based ranking.

Senior level · San Diego, CA · Full-time

Must have (5)
information retrievalmachine learningNLPranking modelstext processing
Nice to have (1)
Golang

Posted 3 times — it's one opening, so apply once.

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

What gives you an edge
NLP5%machine learning12%

Rare in this occupation — lead with these, and say what you built with them.

What the occupation pays Median $166,860 (middle half $131,418–$198,246). 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 (6)

The role is titled 'Search Relevance Engineer' with no explicit seniority level in the title; the compensation range ($161,300–$274,200/yr) and scope of work (designing platform/tooling, owning ranking experiments, cross-functional partnerships) support a Senior-level assessment.

SOC classification is Medium confidence: the role blends software engineering (building ranking/platform systems) with data science (ML-based ranking models, NLP, query log analysis). 15-1252 was chosen because the primary deliverables are engineering artifacts — ranking features, algorithm frameworks, and tooling — rather than statistical modeling or research.

Golang is listed under a 'Nice to Have' section and is marked as preferred accordingly.

The posting mentions 'flexible, remote, or required in office' work personas but does not commit to a fully remote arrangement; remote is set to false.

Location context is ServiceNow/Moveworks (San Diego HQ), though the posting does not specify a single city for this role. San Diego, CA CBSA is used as the primary location based on company headquarters.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): query log analysis.

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