drjobs Staff Machine Learning Quality Engineer

Staff Machine Learning Quality Engineer

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1 Vacancy
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Job Location drjobs

Santa Clara - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Title: Staff QA Engineer in Machine Learning
Location: Santa Clara CA 

ServiceNow is changing the way people work. With a serviceorientation toward the activities tasks and processes that make up daytoday work life we help the modern enterprise operate faster and be more scalable than ever before. 

Were disruptive.  We work hard but try not to take ourselves too seriously.  We are highly adaptable and constantly evolving.  We are passionate about our product and we live for our customers.  We have high expectations and a career at ServiceNow means challenging yourself to always be better. 


What you get to do in this role:

As part of the ServiceNows Machine Learning Quality Engineering team work on AI/MLspecific test strategies and build testing frameworks. Opportunity to learn work and contribute to the innovative and enterprise grade ServiceNows Natural Language Understanding and Artificial Intelligence engine as part of the overall offering.
Experience with instrumentation and performance profiling of systems with large memory requirements and tight response tolerances.

  • Strong test automation skills in Java / Python
  • Experience building test frameworks in Java / Python
  • Experience with data augmentation synthetic data and similar techniques for improving quality and testing scalability
  • Ability to review results from the test set and create defects based on result patterns
  • Familiarity with Large Language Models  AI/ML modeling approaches such as supervised and unsupervised techniques
  • Good knowledge of probability and statistics and their applications to AI/ML software quality evaluation
  • Familiarity with common metrics for ML / LLM quality such as accuracy precision recall F1score etc.
  • Awareness of MLspecific challenges with reproducible test results data dependence of testing outcomes
  • Working experience with Large Language Models and NLU providers is a plus
  • Ability to scale testing across Multiple Languages is a plus

 


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 decisionmaking or problemsolving. This may include using AIpowered tools automating workflows analyzing AIdriven insights or exploring AIs potential impact on the function or industry.
  • 8 years of experience in applied ML in the industry with a degree in computer science machine learning or similar field
  • 8 years professional experience in quality assurance and/or application development ML in the industry with a degree in computer science machine learning or similar field
  •  8 years of related experience with a Bachelors degree; or 6 years and a Masters degree; or a PhD with 3 years experience; or equivalent experience.
  • Handson experience testing and maintaining largescale production systems in Python  or Java

  

For positions in this location we offer a base pay of $163600 $286300 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.

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 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. 


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

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