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Staff Machine Learning Engineer

ServiceNow - Santa Clara, CA, United States - Hybrid - posted 2026-10-01

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Salary: USD 176,100 - 308,200 / annual

ServiceNow's Advanced Technology Group (ATG) is seeking a Staff Machine Learning Engineer to build intelligent, AI-powered solutions that transform enterprise service workflows. You'll work on cloud-based AI/ML platforms designed to make advanced capabilities accessible to any user, regardless of technical expertise, across ServiceNow's 5,000+ enterprise customers globally. In this role, you'll: - Build best-in-class cloud-based AI/ML solutions powering intelligent enterprise services - Collaborate daily with developers, product managers, and quality engineers to deliver high-quality software - Partner with product owners to understand requirements and own code from design through implementation, testing, and delivery - Focus on transforming user experience and workflow efficiency through AI-driven insights and automation ATG operates with a dual mission: building and evolving ServiceNow's AI platform while researching and de-risking emerging AI technologies that unlock new work experiences. You'll be part of a team of researchers, applied scientists, engineers, and product managers working on early-adopter customer solutions. ServiceNow is the AI control tower for business reinvention, serving 85% of the Fortune 500. The company is building an AI-native culture where technology and talent drive transformation. REQUIREMENTS: - Experience leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving (including AI-powered tools, automation, or analyzing AI-driven insights) - Expertise in Java or Python, OOP, design patterns, and time/space-efficient algorithms - Experience building new products that leverage challenging high-performance algorithms - Expertise in coding efficient, object-oriented, modularized, and quality software - Knowledge of core AI/ML techniques and algorithms - Knowledge of unit testing, profiling, and code tuning

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