Senior ML Engineer for Exploitability AI Engine

Servicenow; Santa Clara (CA); On-site; USD 143,000 - 243,000; Full time

Benefits offered by this job

Health plans

401(k) with company match

ESPP

Matching donations

Flexible time away & family leave

Job summary

ServiceNow is seeking a Senior ML Engineer to build production ML components for an exposed analysis engine, turning signals into ranked, attack paths. The role emphasizes ownership as the system matures and collaboration with product, security R&D, and SecOps to address real cybersecurity challenges.

You will work on evidence ingestion, entity resolution, graph construction, and the probability core while ensuring tests, observability, and robust deployment.

Qualifications

• 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 production or near-production environments.
• Strong programming experience in Python and/or Java, Go, or TypeScript.
• Cloud-native technologies, distributed systems, APIs, databases, and scalable architectures.

Responsibilities

• Design, build, test, and operate production ML components with strong engineering fundamentals.
• Contribute to design and code reviews, and help raise the quality bar on the team.
• Prototype quickly to evaluate new AI capabilities against real cybersecurity problems.
• Partner with product, security R&D, and SecOps to understand the problem behind the ticket.
• Apply AI safety, security, and guardrail practices to what you build.

Skills

Python

Java

Go

TypeScript

Distributed systems

Cloud-native

AI/ML

RAG/embeddings

Education

Bachelor’s or Master’s degree in CS/AI/ML or related field

Job description

ServiceNow is seeking a Senior ML Engineer to build production ML components for an exposed analysis engine, turning signals into ranked, attack paths. The role emphasizes ownership as the system matures and collaboration with product, security R&D, and SecOps to address real cybersecurity challenges.

You will work on evidence ingestion, entity resolution, graph construction, and the probability core while ensuring tests, observability, and robust deployment.