Jobs / United States / Servicenow INC

Staff Machine Learning Engineer

Servicenow INC · 🇺🇸 Santa Clara, California, US

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 547 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 185 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • What Servicenow INC paid sponsored hires in similar roles6 certified filings for “Machine Learning Engineer” (Software Developers) in IL: $108k–$153k, median $114k. Most were filed at wage level II (60%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.

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Sponsor Radar — Servicenow INC

547 H-1B filings certified since Oct 2025

The US Department of Labor certified 547 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 185 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Servicenow INC →

About the role

What you get to do in this role: The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences with the latest advanced technologies. We are researchers, applied scientists, engineers, and product managers with a dual mission: we build and evolve the AI platform, and we partner with teams to create AI-powered work experiences. We also research, experiment, and de-risk emerging AI technologies that will shape future products. We serve 5,000+ enterprise customers worldwide, and we’re still early in bringing these solutions to them. Role Overview You will design and build AI and machine learning solutions that make enterprise services easier to use. 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. What You’ll Do • 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 • Turn research ideas into production-ready systems, and de-risk new techniques before they reach customers • 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   To be successful in this role you have: • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving (may include using AI-powered tools, automating • Hands-on experience applying core ML/AI techniques and algorithms (e.g., supervised and unsupervised learning, deep learning, NLP, or LLMs) • Strong programming skills in Python (Java acceptable) with solid software engineering fundamentals • Experience integrating AI into work processes, decision-making, or problem-solving • Experience evaluating model performance, including metrics, error analysis, and experiment design • Familiarity with unit testing, profiling, and performance tuning for ML systems Desired Qualifications • Experience building new products on high-performance or large-scale ML systems • Experience with LLM fine-tuning, retrieval-augmented generation, or agentic AI frameworks • Publications, research contributions, or open-source ML work • Experience with MLOps: model deployment, monitoring, and retraining pipelines   For positions in this location, we offer a base pay of $176,100 - $308,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. 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. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. 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. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-pa

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Source: smartrecruiters First seen: 2026-10-16 Last confirmed: 2026-10-16 How our data works → Report this job

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