[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All ServiceNow jobs](https://jobs.opennash.com/companies/servicenow/) · [Search jobs](/search/) ServiceNow · Santa Clara, CA # Staff Machine Learning Engineer Santa Clara, California, United States Full-time Senior individual contributor $176,100 - $308,200 Data & Analytics Listed on ServiceNow’s official careers site. Posted October 15, 2026. Check that it is still open and apply there. [Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000155865961-staff-machine-learning-engineer) [OpenNash Jobs](https://jobs.opennash.com/) / [ServiceNow](https://jobs.opennash.com/companies/servicenow/) / Staff Machine Learning Engineer ## Job description ### 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 ## Qualifications 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. ## At a glance - Posted by the employer: Oct 15, 2026 - First seen by OpenNash: Oct 10, 2026 - Last checked: Oct 17, 2026 - Listed for: 7 days - Location: Santa Clara, California, United States - Employment type: Full-time - Pay: $176,100 - $308,200[Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000155865961-staff-machine-learning-engineer) ## More jobs at ServiceNow ### [Director, Data & Storage Reliability Engineering](https://jobs.opennash.com/companies/servicenow/jobs/cbd742a986dbb64f8e2a/) Santa Clara, California, United States ### [Senior Manager - Machine Learning Engineering](https://jobs.opennash.com/companies/servicenow/jobs/8e576d5a1681349a00b2/) Santa Clara, California, United States ### [Senior Staff Database Engineer](https://jobs.opennash.com/companies/servicenow/jobs/28f7d2d3e04a17afa875/) Santa Clara, California, United States ### [Senior Staff Outbound Product Manager - Data & Analytics](https://jobs.opennash.com/companies/servicenow/jobs/fed16d4513272a3075b9/) Santa Clara, California, United States ## Similar jobs at other companies ### [Staff Software Engineer, On-Device Machine Learning](https://jobs.opennash.com/companies/alphabet/jobs/a163c36c96d6d5b846cf/) Alphabet · Sunnyvale, CA, USA ### [Senior Staff Engineer, Machine Learning Engineering ( On-device Learning SW)](https://jobs.opennash.com/companies/qualcomm/jobs/d561df305202050c72d5/) Qualcomm · San Diego, California, United States of America ### [Staff Machine Learning Software Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/1c015546a5addf14b5ac/) Qualcomm · San Diego, California, United States of America ### [AI Machine Learning Engineering Staff](https://jobs.opennash.com/companies/lockheed-martin/jobs/a50fa89c9d061673bf86/) Lockheed Martin · Virtual Three, TX ### [A/AI Machine Learning Engineering Staff - Clearance Required](https://jobs.opennash.com/companies/lockheed-martin/jobs/fee14b837ea19e8438a2/) Lockheed Martin · Huntsville, AL OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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