[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 · Mountain View, CA # Machine Learning Engineer, GAI Search Relevance - Moveworks Mountain View, CALIFORNIA, United States Full-time $139,700 - $216,500 Data & Analytics Listed on ServiceNow’s official careers site. Posted July 16, 2026. Check that it is still open and apply there. [Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000138178124-machine-learning-engineer-gai-search-relevance-moveworks) [OpenNash Jobs](https://jobs.opennash.com/) / [ServiceNow](https://jobs.opennash.com/companies/servicenow/) / Machine Learning Engineer, GAI Search Relevance - Moveworks ## Job description Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. ### What You Will Do We are looking for a search relevance engineer to work with a team to improve a search based question answering platform. At Moveworks, we build search technology to answer enterprise users’ tech questions instantly, by combining modern information retrieval methodology with the latest advancement in natural language understanding. Our core Search product value is achieved through the capability of accurately retrieving, matching and ranking text snippets extracted from heterogeneous knowledge sources, as direct answers to users’ requests. You will play a critical role in boosting answer quality by meeting the challenges such as lexical gap, semantic text understanding, and data sparsity. We’re building a team that indexes on moving fast, solving challenging product/engineering problems and providing value to our customers. To be successful, you'll be partnering with product, user experience, customer success and other engineering teams to identify, define and build elegant solutions. Craft new ranking features and optimizing existing ones to enhance relevance metrics - Develop algorithm framework to support diversified ranking features - Design platform and tooling to enable parallel ranking experiments - Develop metrics to evaluate ranking performance ## Qualifications ### Qualifications What You Bring To The Table First-hand experience in traditional information retrieval techniques, or machine learning based ranking models Capable of deriving insights from query logs analysis and identifying areas of improvement for search quality Background in text processing, information retrieval, natural language understanding, or machine learning ### Nice to Have Experience in Golang For positions in this location, we offer a base pay of $139,700 - $216,500, 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: Jul 16, 2026 - First seen by OpenNash: Jul 10, 2026 - Last checked: Oct 17, 2026 - Listed for: 99 days - Location: Mountain View, CALIFORNIA, United States - Employment type: Full-time - Pay: $139,700 - $216,500[Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000138178124-machine-learning-engineer-gai-search-relevance-moveworks) ## More jobs at ServiceNow ### [Machine Learning Engineer, GAI Search Platform - Moveworks](https://jobs.opennash.com/companies/servicenow/jobs/7ba09a348678959eeaac/) Mountain View, CALIFORNIA, United States ### [Machine Learning Engineering Manager, GAI Search Relevance - Moveworks](https://jobs.opennash.com/companies/servicenow/jobs/22efc099e480dc20b563/) Mountain View, CALIFORNIA, United States ### [Senior Machine Learning Engineer, GAI Search Platform - Moveworks](https://jobs.opennash.com/companies/servicenow/jobs/f6b4bfa446f6f85a5871/) Mountain View, CALIFORNIA, United States ### [Senior Staff Machine Learning Engineer, Agentic Application](https://jobs.opennash.com/companies/servicenow/jobs/14680d423599f30c585d/) Mountain View, CALIFORNIA, United States ### [Senior Staff Machine Learning Engineer, Agentic Systems - Moveworks](https://jobs.opennash.com/companies/servicenow/jobs/0f6b5163f34111929dfa/) Mountain View, CALIFORNIA, United States ## Similar jobs at other companies ### [Senior Machine Learning Engineer](https://jobs.opennash.com/companies/microsoft/jobs/a28bc03521860e161cf2/) Microsoft · United States, Massachusetts, Cambridge ### [Senior Machine Learning Engineer](https://jobs.opennash.com/companies/cvs-health/jobs/6997911d5e1c02b976f9/) CVS Health · New York, NY ### [A/AI Machine Learning Engineer](https://jobs.opennash.com/companies/lockheed-martin/jobs/653cd776436867ec18c7/) Lockheed Martin · Manassas, VA ### [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 ### [Lead Machine Learning Engineer](https://jobs.opennash.com/companies/jpmorganchase/jobs/141a8c68ad71af53803f/) JPMorganChase · New York, NY, United States OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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