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Staff Machine Learning Engineer

ServiceNow · Santa Clara, CA · posted 2 days ago

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311
Certified filings · by ServiceNow, FY2026 Q2
$201,212
Median filed wage · for “Staff Software Engineer” · 27 filings

Source: US DOL Office of Foreign Labor Certification, LCA disclosure data, FY2026 Q2. Government data is published roughly one quarter in arrears.

This advert was matched to Staff Software Engineer, a job title ServiceNow has itself sponsored.

The figure above is not this job’s salary. It is what ServiceNow reported to the US Department of Labor for the closest role it has sponsored. A filing history means this employer has sponsored before — it is not a promise that this opening carries sponsorship, and not an offer of pay. Check the advert and ask the employer.

See every role ServiceNow has sponsored, and what it paid →

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The role, as ServiceNow describes it

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-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, s

Read the full advert and apply on ServiceNow’s site →

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