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Senior (DevOps) Machine Learning Engineer - Federal

ServiceNow - Santa Clara, CA, USA - Hybrid - posted 2026-10-05

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Salary: USD 161,300 - 274,200 / annual

ServiceNow's Advanced Technology Group (ATG) is seeking a Senior Machine Learning Engineer with DevOps expertise to build AI and ML solutions that transform enterprise service workflows. You'll work on intelligent software and smart user experiences that enable end-to-end, industry-leading work experiences for customers. In this role, you will: - Build cloud-based AI/ML solutions powering intelligent enterprise services - Collaborate daily with developers, product managers, and quality engineers to produce high-quality software - Work with product owners to understand requirements and own code from design through implementation, testing, and delivery - Deploy, scale, and operate services in production Kubernetes environments using Helm-based deployments and CI/CD pipelines - Own observability for your systems—meaningful metrics, useful logs, real tracing, and alerts focused on customer impact - Debug and resolve production incidents independently, participate in on-call rotations, and conduct root-cause analysis against defined service level objectives You'll be part of a team building solutions that democratize AI/ML—enabling any user, regardless of technical knowledge, to operate enterprise services thoughtfully and at scale. ServiceNow serves 5,000+ enterprise customers globally, and you'll help expand the range of AI-powered solutions available to them. REQUIREMENTS: - Expertise in Go or Python, design patterns, and time/space-efficient algorithms - Experience building new products using challenging 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 - Deploy, scale, and operate services in production Kubernetes environments with Helm and CI/CD pipelines - Own observability (metrics, logs, tracing, alerts) for systems you build - Ability to debug and resolve production incidents independently, participate in on-call, and run root-cause analysis DESIRED (NOT REQUIRED): - Confident use of AI coding assistants (GitHub Copilot, Cursor) with critical review skills for AI-generated code - AI-assisted debugging and trace analysis with understanding of data privacy rules for prompts

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