It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.
About the role
This is a zero-to-one incubation. We’re building a new class of exposure analysis that ranks security work by exploitability—where an attacker could realistically get in—rather than raw severity. The architecture is evolving, and this role helps define what good looks like.
What they're looking for
- 3+ years of software engineering experience, or equivalent practical experience
- Experience designing and delivering production software systems
- Experience building or integrating AI/ML-powered applications in a production or near-production environment
- Modern AI experience: LLMs, RAG, embeddings, vector search, agentic workflows, model evaluation, or AI observability
- Strong programming experience in Python and/or Java, Go, or a similar language
- Cloud-native technologies, distributed systems, APIs, databases, and scalable architectures
More about this role
About the team
The Security and Risk Engineering organization builds scalable, AI-powered security solutions that reduce risk and protect ServiceNow and its customers. We value AI-first thinking, clean architecture, intuitive experiences, and a culture of continuous learning.
This is a zero-to-one incubation. We’re building a new class of exposure analysis that ranks security work by exploitability—where an attacker could realistically get in—rather than raw severity. The architecture is evolving, and this role helps define what good looks like.
The role
As a Senior ML Engineer, you build core components of a novel exploitability engine—shipping production ML that turns raw security signal into ranked, reachable attack paths. You take well-scoped problems from design to production and grow into deeper ownership as the system matures.
What you’ll own
- Well-scoped components of the engine—evidence ingestion and connectors, entity resolution, graph construction, or parts of the probability core—built to production quality.
- The correctness and reliability of what you ship: tests, evaluation, observability, and the metrics that show your component works.
- Turning ambiguous...
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