Senior Machine Learning Engineer

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Job Description

The Machine Learning Developer designs, builds, ships, and operates applications whose core behavior ismodel-drivenrather than explicitly authored.The Developerbuilds the engine behind ServiceNow'soptimization products— the algorithms and pipelines that turn sophisticated scheduling and resource-allocation problems into fast, reliable customer outcomes. The work is evolving — where "AI-driven" once meant applying ML techniques to optimization problems, it now also means using AI agents as part of the build process itself. This role expects both: someone who can designanefficient algorithm from scratch, and someone who can specify a problem precisely enough to direct an AI agent to implement part of it, then verify the result is correct. Thedeveloperowns the correctness, performance, and robustness of what ships, regardless of whether a human or an agent wrote it.

What you get to do:

• BuildOptimizationapplications.Design, buildandoperateapplications built aroundadvanced optimizationmodelsin productionat scale.This includes API design, data ingestion, multiprocessing, observability, advanced algorithm development, performance benchmarking, and automated testing.
• Build automated evaluation and testmodelbehaviour.Design and operate the evaluationsystem that supports developmentand delivering features with confidence.
• Specify precisely and direct AI coding agents.Convert requirements into testable specifications with explicit scope, constraints, and acceptance criteria; decompose work into agent-sized tasks; and review agent output for correctness and maintainability.Contribute to teams AI-harness helping shape the way agents are leveraged.
• Own quality, safety, and reliability in production.Manage deployments, monitorserviceavailability,implement alerting and respond to customer issues before they even know they have a problem.
• Deliver as a forward deployed engineer.Work closely with customers when the work calls for it. Understanding business requirements and product capabilities to help customers get to value faster and use learnings to influence product roadmap.
• Collaborate across product, design, and engineering.Partner with product managers, designers, conversation designers, and engineers to define success criteria, align on tradeoffs, and communicate capability and risk clearly.

Qualifications

• Experience.5+byears of relatedexperiencewith a bachelor’s degreein computer science, software engineering, or related technical field.Advanced degrees or certifications (especially in Operations Research) are a bonus.
• Software engineering fundamentals.Strong command ofOOP,data structures, algorithms, system design,concurrency, parallelism,APIs, data modeling, and testing.
• Forward deployed delivery and stakeholder communication.Comfort working directly with customers under incomplete information and fixed timelines, judgment about when a fast local solution is right and when to hold out for the durable one, and credibility communicating capability, limitation, and risk to non-engineers.
• Experiencewithmission critical systems.Demonstratedexperiencedevelopingreliable andresilientsystems.
• AINative Approach.Strong critical thinking and a track record of integrating AI into engineering processes, SDLC, workflows, or decision making.
• Domainexpertise.Familiaritywith Operations Research, Vehicle Routing Problems,Mathematical Optimization,Field Service Managementis a plus but not required

Additional Information

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 and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third‑party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual o