Senior Staff Machine Learning Engineer at ServiceNow

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

346200.0

Posted On

17 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI, Prompt Engineering, Large Language Models, Data Processing, Software Development, Object-Oriented Programming, Quality Assurance, Semantic Search, Language Modeling, Dialogue Management, User Intent Understanding, Workflow Automation, AI Productivity Tools, Benchmark Development, Performance Improvement

Industry

Software Development

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. Job Description The Virtual Agent Science team is at the forefront of conversational AI, specializing in delivering intelligent, human-like interactions through virtual agents. Our mission is to enhance customer experiences by advancing the state of the art in search and conversational science. We tackle the entire lifecycle of conversational AI—from understanding user intent and retrieving relevant documents to crafting natural and context-aware personalized responses. We collaborate closely with product teams to translate business requirements into robust, measurable solutions. Our work includes developing and refining benchmarks for conversational systems, leveraging user feedback to continuously improve performance, and innovating in areas like semantic search, language modeling, and dialogue management. By combining cutting-edge research with practical applications, we ensure our virtual agents are capable of retrieving the most relevant information, responding effectively to user queries, and gracefully handling scenarios where clarification or "no answer found" responses are required. You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world. What you’ll do in the role: Build the best cloud-based AI/ML solutions to power intelligent enterprise services. Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users. Creating and maintaining large-scale data processing pipelines that ensure that data is processed accurately, efficiently, and securely Build the best cloud-based AI/ML solutions to power intelligent enterprise services Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users Qualifications To be successful in this role you have: Proficient in prompt engineering and developing LLM based features Experience with methods of training and fine tuning large language models, such as distilation, supervised fine-tunning and policy optimization Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry. 10+ years of related experience with a bachelor's degree; or 8 years and a master's degree; or a PhD with 5 years' experience; or equivalent work experience Experience building new products that use challenging algorithms in hands of customers. Proficient with methods of prompt tuning LLMs. Good to have some awareness of fine-tuning large language models, such as distillation, supervised fine-tuning and policy optimization. Knowledge of core AI/ML techniques and algorithms Expertise in coding efficient, object-oriented, modularized and quality software. Knowledge of unit testing, profiling, and code tuning. For positions in this location, we offer a base pay of $197,800 - $346,200, 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.

Responsibilities

You will build cloud-based AI/ML solutions to enhance enterprise services and collaborate with a team to produce quality software. Your role includes creating and maintaining large-scale data processing pipelines and owning the code from design to delivery.