ServiceNow

Staff Machine Learning Engineer

Join ServiceNow as a Staff Machine Learning Engineer in Santa Clara, CA. Leverage AI in products, requiring 6+ years of experience and Python expertise. Competitive pay and benefits.

ServiceNow Role Type:
ServiceNow Modules:
Department - JobBoardly X Webflow Template
Predictive Intelligence
Department - JobBoardly X Webflow Template
Virtual Agent
ServiceNow Certifications (nice to have):

Job description

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Posted on:
 
February 21, 2025

ServiceNow is seeking a Staff Machine Learning Engineer to build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. The ideal candidate will have experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.

Requirements

  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
  • 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, ensuring a clear understanding of the benefits and limitations of LLMs across the organization

Benefits

  • base pay of $165,800 - $290,200, plus equity (when applicable), variable/incentive compensation and benefits
  • 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

Requirements Summary

6+ years of experience, solid expertise in Python, solid Machine Learning / Deep Learning knowledge, experience with LLM benchmarking and evaluation