Staff ML Engineer: Enterprise Search & Relevance

JobCubby; Mountain View, Northern (CA, KY); Hybrid; USD 176,000 - 308,000; Full time

Job summary

ServiceNow is seeking a search relevance engineer to join a team that builds a high‑quality, enterprise search-based QA platform. You will enhance ranking, improve answer quality and reduce lexical gaps by applying information retrieval and natural language understanding techniques.

You will collaborate with product, UX and engineering teams to design features, run parallel experiments, and measure success with robust metrics to deliver better answers for users across our knowledge sources.

Qualifications

• Experience with information retrieval techniques or ML-based ranking models.
• Ability to derive insights from query logs and identify improvements for search quality.
• Background in text processing, information retrieval, NLP, or machine learning.

Responsibilities

• Craft new ranking features and optimize existing ones to enhance relevance metrics.
• Develop algorithm framework to support diversified ranking features.
• Design platform and tooling to enable parallel ranking experiments.
• Develop metrics to evaluate ranking performance.

Skills

Ranking features

Information retrieval

Natural language understanding

Query log analysis

Golang experience

Tools

Golang

Job description

ServiceNow is seeking a search relevance engineer to join a team that builds a high‑quality, enterprise search-based QA platform. You will enhance ranking, improve answer quality and reduce lexical gaps by applying information retrieval and natural language understanding techniques.

You will collaborate with product, UX and engineering teams to design features, run parallel experiments, and measure success with robust metrics to deliver better answers for users across our knowledge sources.