MACHINE LEARNING QUALITY ENGINEER

Job Description 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, collaboration, reporting, analytical 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 analyze 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 Support engineering organizations in troubleshooting or addressing issues with applications and dev/test environments Qualifications Bachelors in Computer Science / Computer Engineering or related subjects with 3 years of work experience Masters in Computer Science / Computer Engineering or related subjects with 2 years of work experience 2+ years of experience with technologies relevant to SN and coding skills with high-quality results.
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 understand several testing techniques (e.
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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 the Bay Area, we offer a base pay of $, 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 (subject to eligibility requirements).
Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.
Additional Information ServiceNow is an Equal Employment 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.
At ServiceNow, we lead with flexibility and trust in our distributed world of work.
Click here to learn about our work personas.
flexible, remote and required-in-office.
If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at  for assistance.
For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.
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Government for certain individuals.
All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.
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Government.
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