Senior Machine Learning Engineer, GAI Search Platform - Moveworks
Company websiteservicenow.com (ServiceNow, opens in new tab)
Base salary $161,300 to $274,200
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (40 min ago) · observed since
About this job
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.
Job Description
What You Will Do
We are looking for Senior Machine Learning engineers to join our GenAI Search Platform team to improve our search-based question answering systems, utilizing both traditional machine learning and cutting-edge generative AI technologies. At Moveworks, we build conversational search systems to provide instant answers to enterprise users’ questions. We deliver business intelligence support by combining modern information retrieval with the latest advancement in natural language understanding, including LLMs (large language models). By accurately retrieving, matching, ranking, and summarizing text snippets grounded in heterogeneous knowledge sources, our search products are reshaping the enterprise search experience for millions of our customers’ employees.
The search platform team works closely with the ranking, product, design, infrastructure and data science teams to drive our agentic search products to the next generation of capabilities focusing on performance and enterprise readiness.
We’re building a team that thrives on moving fast, solving challenging product and 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.
- Develop algorithm frameworks to support diverse conversational search applications such as multi-turn multi-hop question answering systems.
- Drive the development of our search platform with new LLM-enabled generative AI features in a fast-paced environment. This platform would enable product teams to build new applications and features quickly, ship new prototypes to customers at scale, evaluate and iterate on ranking improvements in a systematic manner, and enforce guarantees on quality, security, privacy and scalability.
- Develop systematic evaluation metrics and methodology for our search models, leveraging LLMs to address unique challenges in the enterprise such as security and privacy.
- As a senior member of the team, you will help contribute towards building a high-performing team with an inclusive and positive team culture.
Qualifications
What You Bring To The Table
- 4+ years of engineering with 1+ years of experience as a senior engineer.
- Passionate about helping product and ranking teams move faster and scale their solutions better in an environment where everyone cares deeply about customer impact and success.
- First-hand experience relevant to search platforms such as traditional information retrieval, search ranking and relevance, recommendation systems, or question answering systems.
- Background in text processing, information retrieval, natural language understanding, or machine learning.
Nice to Have
- Experience with (or desire to learn) large language models, retrieval augmented generation (RAG), and agents.
- Experience in Python. Contributing to mature python libraries or platform code, including open-source repositories is a nice to have.
- Experience in Golang (not required).
For positions in this location, we offer a base pay of $161,300 - $274,200, 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.
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 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, 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 [email protected] 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), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
Source: ServiceNow on SmartRecruiters · View original posting (opens in new tab)
Pay in context
This role's base floor ($161,300) is above 26% of the 1,514 Data & ML roles in California listed on this site; 1 other lists the same floor. Their median floor is $187,500; the middle half runs from $159,200 to $229,375.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingSenior Machine Learning Engineer, GAI Search Platform - Moveworks$161,300 to $274,200
Senior Machine Learning Engineer_Linguistics and Speech$161,300 to $274,200
Staff AI-Native DevOps Engineer$158,500 to $277,400
Staff Machine Learning Engineer_Voice AI$158,500 to $277,400
Staff Data Platform Software Engineer - Persistence$158,500 to $277,400
Principal Customer Success Executive - Manufacturing Vertical$162,200 to $283,900
Senior Staff Cloud FinOps Analyst$165,500 to $289,600
Chart as a table
| Role | Published base |
|---|---|
| Senior Machine Learning Engineer, GAI Search Platform - Moveworks (this listing) | $161,300 - $274,200 |
| Senior Machine Learning Engineer_Linguistics and Speech | $161,300 - $274,200 |
| Staff AI-Native DevOps Engineer | $158,500 - $277,400 |
| Staff Machine Learning Engineer_Voice AI | $158,500 - $277,400 |
| Staff Data Platform Software Engineer - Persistence | $158,500 - $277,400 |
| Principal Customer Success Executive - Manufacturing Vertical | $162,200 - $283,900 |
| Senior Staff Cloud FinOps Analyst | $165,500 - $289,600 |
Observed changes
- First observed on the employer's board
- fields changed
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-08-20
Where this pay comes from
Location as the employer wrote it: Mountain View, CALIFORNIA, United States
For positions in this location, we offer a base pay of $161,300 - $274,200, plus equity (when applicable), variable/incentive compensa
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.