Machine Learning Engineer, GAI Search Platform - Moveworks

ServiceNow servicenow.com Open · verified Oct 22, 2026

On-site Mountain View Full-time Mid-level Machine Learning Engineering

At a glance

Mid-level Machine Learning Engineering role at ServiceNow. Mountain View · full-time · $139,700–$216,500 base.

SalaryStated by ServiceNow

$139,700 – $216,500

Base salary for this role, in USD per year, as published in the posting.

This role, from ServiceNowOur estimate for the market: $188,900–$241,250Median $213,750

The range includes the market median of $213,750 for mid-level machine learning engineering roles in Mountain View.

Worked out from 12 postings that stated pay, median $213,750. Last updated Oct 17, 2026.

RoleMachine Learning Engineering

SeniorityMid-level

LocationMountain View

WorkplaceOn-site

EmploymentFull-time

Base pay$139,700–$216,500

PostedJul 16, 2026 · 3mo ago

Role brief

aimlroles summary, based on the employer's posting.

What you'll do

Build LLM-powered search features that help product teams create applications and deliver prototypes to customers at scale
Create a repeatable way to measure search models and test ranking changes systematically
Use language models in evaluation methods that account for enterprise security and privacy needs
Work with product, UX, customer success and engineering teams to define and deliver search solutions
Improve platform performance and readiness for enterprise use, including quality, security, privacy and scalability

What you bring

At least three years of engineering experience
Hands-on work with search technology, such as retrieval, relevance ranking, recommendations or question answering
Experience in areas such as text handling, language understanding, machine learning or finding information in documents

Who this fits

This mid-level role suits an engineer who has worked on search systems and wants to help product and ranking teams build and scale solutions. The position is onsite in Mountain View.

From the employer

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 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.

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.

What You Bring To The Table

3+ years of engineering.
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 $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.

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 globaltalentss@servicenow.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), 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.