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Machine Learning Engineer, GAI Search Relevance

ServiceNow

On-site
Mountain View, CA
Full-time
Mid Level
$140k–$217kPosted 3w ago

Real job — pulled straight from ServiceNow’s careers page · Verified July 24, 2026 · No reposts.

Job description

ServiceNow is hiring a Machine Learning Engineer, GAI Search Relevance — a full-time, based in Mountain View, CA role ($140k–$217k). Apply directly on ServiceNow's careers page below.

Machine Learning Engineer, GAI Search Relevance - Moveworks

Location: Mountain View, CALIFORNIA, us

Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, is the AI control tower for business reinvention. Our AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

 

Join us to put AI to work for people.

 

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 — 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.

Job Description

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. 

Additional Information

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 employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, may confirm the distance between your primary residence and the closest office using a third-party service.

Equal Opportunity Employer

is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, 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

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@.com for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license. . 

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Frequently asked questions

What is the salary for Machine Learning Engineer, GAI Search Relevance at ServiceNow?

The estimated salary range for Machine Learning Engineer, GAI Search Relevance at ServiceNow is $140,000 - $217,000 USD per year.

What skills are required for Machine Learning Engineer, GAI Search Relevance at ServiceNow?

The required skills for Machine Learning Engineer, GAI Search Relevance at ServiceNow include: Machine Learning, NLP, Go.

What is the seniority level for Machine Learning Engineer, GAI Search Relevance at ServiceNow?

Machine Learning Engineer, GAI Search Relevance at ServiceNow is a Mid Level level position.

How do I apply for Machine Learning Engineer, GAI Search Relevance at ServiceNow?

You can view the full description and apply for Machine Learning Engineer, GAI Search Relevance at ServiceNow on EchoJobs: https://echojobs.io/job/servicenow-machine-learning-engineer-gai-search-relevance-moveworks-bcctj.