ServiceNow
Staff Machine Learning Engineer
Santa Clara, California, United States · Staff+ · Contract
Stay score
odds of building a lasting career here
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
$10,975 more — $187,075 — moves this role to Level II and 2 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 $187,075 would place this position at wage Level II. 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
Green-card follow-through: 90%
Files H-1B transfers
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.
Community outcomes
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About the role
- Our goal is for any user, regardless of technical background, to get useful results from our AI/ML systems.
- You'll work on the models, algorithms, and pipelines behind those experiences, from prototype through production.
Responsibilities
- Develop and deploy cloud-based ML and AI solutions that power intelligent enterprise services
- Design, train, evaluate, and iterate on models and algorithms, including LLM-based and other AI approaches
- Partner with product owners to translate requirements into measurable ML outcomes
- Collaborate daily with applied scientists, engineers, and PMs to deliver quality software, owning work from design through monitoring
- Experience evaluating model performance, including metrics, error analysis, and experiment design
- Experience building new products on high-performance or large-scale ML systems
- We strive to create an accessible and inclusive experience for all candidates.
Requirements
- Experience with LLM fine-tuning, retrieval-augmented generation, or agentic AI frameworks
- Experience with MLOps: model deployment, monitoring, and retraining pipelines
- To be successful in this role you have:
Compensation
- Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure.
Benefits
- We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.
- Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location.
Company info
- We serve 5,000+ enterprise customers worldwide, and we're still early in bringing these solutions to them.
- Turn research ideas into production-ready systems, and de-risk new techniques before they reach customers
- For positions in this location, we offer a base pay of $176,100 - $308,200, plus equity (when applicable), variable/incentive compensation and benefits.
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.