Jobs

Senior Staff Machine Learning Engineer, GAI Search Platform - Moveworks
Mountain View
·
On-site
·
Full-time
·
1w ago
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Flexible Hours
•Remote Work
•Healthcare
•401k
•Equity
•Flexible Hours
•Remote Work
Required Skills
Machine Learning
Information Retrieval
Natural Language Understanding
Technical Leadership
What You Will Do:
We are looking for senior/staff 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.
For the Search Platform, we are looking for passionate leaders who can provide technical direction and thoughtful coaching to our team of search and machine-learning engineers. 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.
- Architect powerful, elegant abstractions to enable ranking and product teams to contribute safely and easily to the codebase.
- 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 technical leader, you will help build a high-performing team with an inclusive and positive team culture.
- As a technical leader, you will iterate on our interview processes, and close candidates to help grow the team. You will also coach and mentor engineers at different levels to achieve their career goals.
What You Bring To The Table
- 5+ years of engineering with 2+ years of experience as a senior engineer (technical lead) leading a team of software engineers.
- 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).
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 Service Now employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, Service Now may confirm the distance between your primary residence and the closest Service Now office using a third-party service.
Equal Opportunity Employer
Service Now 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), Service Now may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon Service Now 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.
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 — Service Now 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.
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About ServiceNow

ServiceNow
PublicServiceNow, Inc. is an American software company that supplies a cloud computing platform for the creation and management of automated business workflows. The company was founded in Santa Clara, California, United States, in 2003 by Fred Luddy.
10,001+
Employees
Santa Clara
Headquarters
Reviews
3.9
25 reviews
Work Life Balance
3.2
Compensation
3.8
Culture
2.8
Career
3.5
Management
2.9
45%
Recommend to a Friend
Pros
Good compensation and benefits package
Learning opportunities and skill development
Work-life balance emphasis and flexible remote options
Cons
Toxic management and politics
Heavy bureaucracy and slow decision making
Layoffs and restructuring uncertainties
Salary Ranges
31 data points
Junior/L3
Junior/L3 · Data Informatics Analyst
1 reports
$77,167
total / year
Base
$67,059
Stock
-
Bonus
-
$77,167
$77,167
Interview Experience
11 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer Rate
45%
Experience
Positive 18%
Neutral 82%
Negative 0%
Interview Process
1
Application Review
2
Phone Screen/Online Assessment
3
Technical Interview
4
Behavioral Interview
5
Final Round/Panel Interview
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
News & Buzz
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Am I missing something in ServiceNow (NOW) stock?
The earnings looked great, the CEO is awesome and his moves show he has full faith in the company. (I.E. the share buyback announced seems like a love letter to shareholders). Its partnerships with open AI and Anthropic seem like they are going to help the product, not hurt it. Its users are still
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