Machine Learning Quality Engineer

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

This is a Quality Engineering role and you will be working on our Machine Learning technologies. We are the Conversational AI team and we provide a comprehensive and centralized platform for automating customer interactions, optimizing workflows, and improving user accessibility. Conversational AI is a type of artificial intelligence (AI) that can simulate human conversation. It is made possible by natural language processing (NLP), a field of AI that allows computers to understand and process human language and Google's foundation models that power new generative AI capabilities and Machine Learning capabilities

• Experience in quality assurance and/or application development
• Strong test automation skills in Java / Python
• Hands-on experience testing large-scale, production systems in Python  or Java
• Excellent communication, reporting and problem-solving skills
• Ability to take a project from scoping the requirements and building the test cases
• Maintain existing automation test frameworks
• Familiarity with testing AI/ML models and evaluation of the model quality
• Ability to review results from the test set and create defects based on result patterns
• Work with developers to design specific testing strategies for features being developed and automate them
• Create comprehensive test plans; execute and automate them
• Partner with the  engineering organizations in troubleshooting or addressing issues with applications and dev/test environments

Qualifications

• 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.
• 2+ years of experience with technologies relevant to SN, Quality engineering and coding skills with high-quality results.
• 2 years of experience as a  Machine Learning Quality Engineer
• Bachelor's degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.
• Experience working within different automated testing frameworks, including Java, JUnit, Python, Selenium, TestNG and other open-source projects.
• Experience with the agile methodology for software development teams.
• Ability to know several testing techniques (e.g. performance, unit, integration, automated), their strengths and weakness, and ability to use them to best effect - including tracking and addressing of any discovered issues.
• Ability to use tools (such as IDE, debugger, build tools, source control, ServiceNow instances, profilers, system administration/Unix tools) to assist with daily tasks

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.

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. 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