ServiceNow

ServiceNow

Senior Staff Machine Learning Engineer - DevOps

Santa Clara, CALIFORNIA, United States · Staff+ · Contract

Sponsorship not specified$201k-$352kDetected 2 days ago
PythonGoDistributed SystemsObject-Oriented ProgrammingAlgorithmsGitKubernetesHelmCI/CDDevOpsMachine LearningLLMsResearch

Stay score

odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$152,7971 entry
Level II$187,0752 entries
Level III$221,3743 entries
Level IV$255,6534 entries

$20,074 more — $221,374 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $221,374 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 86 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 90%

Of 127 labor certifications old enough to have been used, 13 expired without the employer filing the next step. Median time from filing to decision: 473 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

108 transfer filings in the last year, covering 258 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis.
  • Today, ServiceNow is the AI control tower for business reinvention.
  • What you get to do in this role: Please note that this role requires you to be in our Santa Clara office for two days per week.

Responsibilities

  • That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work.
  • We're building an AI-native culture where technology and talent are unstoppable together.
  • You will own the end-to-end inference lifecycle-from onboarding cutting-edge models to deploying optimized inference engines in production across multiple backends on Kubernetes infrastructure.
  • Expertise in Go or Python, OOP, Design Patterns, time and space-efficient algorithms
  • Experience building new products that use challenging algorithms
  • Own observability for what you build - meaningful metrics, useful logs, real tracing, and alerts that fire on customer impact rather than on noise.

Compensation

  • $201k-$352k

Benefits

  • We are seeking a Senior Staff Machine Learning Engineer (DevOps) to lead the architecture, optimization, and operational excellence of our AI inference platform.

Company info

  • We are a group of researchers, applied scientists, engineers, and product managers with a dual mission.
  • Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better.
  • We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences.

Equal opportunity

  • ServiceNow is an equal opportunity employer.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law.
  • In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
  • Accommodations

Visa & Work Authorization

  • Export Control Regulations

This listing is sourced directly from ServiceNow's careers page and normalized into a canonical job model.