Machine Learning Engineer, Agentic Application
ServiceNow · Mountain View, CA
$139,700–$216,500from the description
Jul 22, 2026
Mountain View, CA
Jul 24, 2026
What this job asks for AI summary
A backend engineering role focused on scaling and optimizing a conversational AI platform that serves enterprise users across chat clients like Teams, Slack, and the web. The work centers on designing scalable API abstractions, improving dialog engine performance, and building logging and observability tooling. Suited to engineers with at least two years of experience building systems at scale who are comfortable working across machine learning and product teams.
Mid level · 2+ years · San Francisco-Oakland-Berkeley, CA · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
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.
Why we read it this way (9)
The job title is bare ('Software Engineer' equivalent on the Conversation Engine team) with no explicit seniority level in the title or framing, so advertised seniority is Unspecified.
The only hard experience gate is '2+ years of professional development experience, specifically in building systems at scale,' which maps to a Mid-level band despite the sophisticated domain; the role is scoped to a single product team rather than org-wide technical authority.
The degree requirement states 'A bachelor's degree or higher in computer science or a related field' with no equivalent-experience escape clause, so Bachelors is treated as a hard gate.
The posting names MSTeams and Slack only as example chat clients in a narrative/context section, not as gated requirements; they are captured as preferred.
No specific programming languages, databases, or cloud platforms are named anywhere in the posting — the skills list is necessarily thin and reflects only what the JD explicitly names.
The compensation range appears to contain a typo ('$139,700-216-500'); interpreted as $139,700–$216,500 per year.
Location is listed as Mountain View / San Francisco Bay Area (Moveworks HQ); CBSA assigned accordingly. Work persona flexibility is mentioned but no explicit remote-OK statement is made, so remote is set to false.
The alt SOC (15-1299) is noted because the role sits at the intersection of conversational AI platform engineering and ML infrastructure, which doesn't map cleanly to a single standard occupation.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): API design.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.