Machine Learning Engineer, GAI Search Platform - Moveworks at ServiceNow
Mountain View, CA
$139,700–$216,500from the description
Jul 15, 2026
Mountain View, CA
Jul 21, 2026
What this job asks for AI summary
A machine learning engineering role focused on building and improving enterprise conversational search and question-answering systems. Day-to-day work involves developing search ranking, retrieval, and generative AI features — including LLM-based capabilities and retrieval-augmented generation — as well as creating evaluation frameworks for search quality. Suits engineers with a background in information retrieval, NLP, or search relevance who want to work across platform and product teams at scale.
Mid level · 3+ years · San Diego, CA · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 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
Roughly 75 people in the San Diego, CA area plausibly meet what this posting asks for (data scientists). range 45–130
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $133,871 (middle half $95,474–$167,770). 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 title is 'Machine Learning Engineer' but the primary day-to-day work centers on search ranking, information retrieval, NLP, and generative AI — placing it at the boundary between Data Scientists (15-2051) and Software Developers (15-1252). 15-2051 was chosen because the core deliverables are ML models, evaluation methodology, and ranking systems rather than general software engineering.
The '3+ years of engineering' requirement is the only stated overall experience gate; no specific technology year counts are given.
Information retrieval is listed as a required background but the JD explicitly frames it as 'such as traditional information retrieval, search ranking and relevance, recommendation systems, or question answering systems' — these are interchangeable examples of the same requirement, so they are captured as alternatives.
LLMs, RAG, agents, Python, and Golang all appear under the 'Nice to Have' section and are marked as preferred accordingly. Python is explicitly called a nice-to-have despite being a common expectation for ML roles.
The posting mentions 'flexible, remote, or required in office' work personas but does not confirm this specific role is fully remote; remote is set to false as a result.
The compensation range ($139,700–$216,500/year) is stated as applicable to 'positions in this location' (San Diego, CA) and is noted as a guideline subject to geographic adjustment.
Read the full posting
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