
Machine Learning Engineer, Agentic Application
ServiceNowRole Overview
ServiceNow is hiring a mid-level Machine Learning Engineer, Agentic Application. This is a full-time role in Mountain View, CALIFORNIA. Part of ServiceNow's Data Science hiring, posted 3 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Mid-level Data Science roles is $126k-$180k (based on 96 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
What you get to do in this role:Are you up for an exciting challenge? Picture yourself scaling and optimizing a cutting-edge Generative AI product that offers instant assistance to enterprise users. Ever wondered how to apply abstraction, scalability, and optimization to a dynamic, probabilistic, an...
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Frequently Asked Questions
How do I apply for the Machine Learning Engineer, Agentic Application position at ServiceNow?
Use the Apply button above to submit your application directly to ServiceNow. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Machine Learning Engineer, Agentic Application position at ServiceNow located?
This position is based in Mountain View, CALIFORNIA. ServiceNow has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Machine Learning Engineer, Agentic Application at ServiceNow earn?
ServiceNow has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Machine Learning Engineer, Agentic Application role at ServiceNow posted?
This role was posted on June 26, 2026 (27 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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