Machine Learning Quality Engineer - job 1 of 4

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.

We are the Quality Engineering team that works on the ML/AI platform in SN. The dev team is working on our AI/ML products. We build the AI platform. We work on backend products, server side and API's and ML capabilities. We use Java and it is how we integrate with the frontend. Writing code . wont directly sees this on the UI side. Release cycles are agile. We do out of band releases, bimonthly depends on project.

What you get in this role:

• Evaluate the quality, accuracy, performance, and safety of AI-generated content produced by large language models (LLMs), identifying areas for improvement

• Execute test plans, track quality metrics, and log defects based on observed patterns and results

• Maintain and enhance existing test automation frameworks

• Contribute to the development and refinement of evaluation criteria and methodologies to strengthen AI model assessment

• Design targeted, small-scale test datasets to ensure adequate coverage across use cases

• Collaborate with engineering teams to troubleshoot and resolve issues in applications and development/test environments

Qualifications:

In order to be successful in this role, we need someone who has:

• 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

• Minimum of 2 years of professional experience in software quality engineering

• Bachelor’s degree with at least 2 years of relevant experience; or an advanced degree with no prior experience; or equivalent practical experience

• Hands-on experience or strong interest in testing machine learning and Generative AI systems, including synthetic data generation and prompt engineering, is highly preferred

• Foundational understanding of AI concepts such as agentic systems, algorithms, models, and associated ethical considerations

• Experience with automated testing frameworks such as Java, JUnit, Selenium, TestNG, and other open-source tools

• Proficient in programming and scripting with Java and Python; experience with tools such as Eclipse, Jenkins, Maven, and Git

• Familiarity with development tools including IDEs, debuggers, build tools, version control systems, and Unix/system administration utilities

• Solid understanding of Agile methodologies and the software development lifecycle (SDLC)

For positions in this location, we offer a base pay of $123,500 - $191,500, 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 [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.