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.

The Machine Learning Developer designs, builds, ships, and operates applications whose core behavior is model-driven rather than explicitly authored. The Developer builds the engine behind ServiceNow's optimization 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 design an efficient 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. The developer owns the correctness, performance, and robustness of what ships, regardless of whether a human or an agent wrote it.

Build Optimization applications. Design, build and operate applications built around advanced optimization models in production at scale. This includes API design, data ingestion, multiprocessing, observability, advanced algorithm development, performance benchmarking, and automated testing.

Build automated evaluation and test model behaviour. Design and operate the evaluation system that supports development and delivering features with confidence.