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.

You will be working with the AI Services Quality engineering team. We help build out our Machine learning models and AI functions.

What you get in this role:

• Design and review test automation frameworks for machine learning models

• Work with ML engineers to make sure that functional & non-functional requirements are addressed

• Establish and improve metrics collection and reporting

• Establish test effectiveness and efficiencies throughout the team

• Incorporate research of industry trends and apply best practices in quality engineering practices used in

• evolving machine learning techniques

• Work in a team oriented environment and work with technical and non-technical team members equally

• well

• Create test plans, test cases and other testing artifacts

• Maintain existing automation test frameworks

• Collect and report quality metrics from test execution

• Work with developers to design specific testing strategies for features being developed and automate them

• Create comprehensive test plans; execute and automate them

• Enable engineering organizations in troubleshooting or addressing issues with applications and dev/test environments

• 4+ years experience in quality assurance and/or application development

• Strong test automation skills, preferably in Java or Python

• Hands-on experience testing large-scale, production systems in Python or Java

• Excellent communication, reporting, driving insights and problem-solving skills

• Ability to take a project from scoping the requirements and building the test cases

• Familiarity with AI/ML modeling approaches such as supervised and unsupervised techniques

• Familiarity with testing AI/ML models and evaluation of the model quality

• Knowledge of machine learning techniques, data structures, algorithms, statistics

• Expertise in developing automation pipelines & frameworks for verification of machine learning models

• Experience in collecting and maintaining data according to test plans / cases.

• Experience setting up automated test systems using continuous build environments (e.g. Jenkins) and ML

• content management systems (e.g. Supervisely) to build full stack testing workflows

• Experience in designing scalable and maintainable automated testing solutions for large-scale ML systems

• -Experience in an agile environment and in standard software testing methodology, e.g. integration testing,

• code reviews, design documentation

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

For positions in this location, we offer a base pay of $123,300 - $209,700, 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. Learn more here (https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/other-document/careers/new-world-of-work-personas.pdf) .

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.

From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.