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
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
Qualifications
• 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.