ServiceNow

Staff Machine Learning Engineer

Join ServiceNow as a Staff Machine Learning Engineer in Santa Clara, CA. Leverage AI/ML skills to develop LLMs for the NOW platform. 6+ years experience required. Benefits include health plans, 401(k) match, and flexible time off.

ServiceNow Role Type:
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Application Developer
ServiceNow Modules:
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Predictive Intelligence
ServiceNow Certifications (nice to have):

Job description

Date - JobBoardly X Webflow Template
Posted on:
 
March 21, 2025

As a Staff Machine Learning Engineer, you will play a major part in building next generation Large Language Models(LLM's) for Enterprise Language Generation that will power NOW platform with AI experiences in day to day work of our customers. You will use your AI/ML expertise and creativity to apply existing methods and develop new ones to solve real-world challenges and datasets. You will also collaborate with a team of like-minded developers, applied research scientists, product managers and quality engineers to produce quality software.

Requirements

  • 6+ years of relevant experience with a Bachelor's degree; or 4 years with a Master's degree; or a PhD with no experience; or equivalent work experience
  • Solid expertise in Python
  • Solid Machine Learning / Deep Learning theoretical knowledge and hands-on experience
  • Experience with LLM benchmarking and evaluation is required; experience generating synthetic data is a plus
  • Ability to read and experiment with ideas from recent research papers
  • High level of creativity, quick problem-solving abilities, and adaptability
  • Effective communication skills to convey research findings to both technical and non-technical stakeholders

Benefits

  • health plans, including flexible spending accounts
  • a 401(k) Plan with company match
  • ESPP
  • matching donations
  • a flexible time away plan
  • family leave programs
  • variable/incentive compensation and benefits

Requirements Summary

6+ years of experience, solid expertise in Python, solid Machine Learning / Deep Learning theoretical knowledge and hands-on experience