Senior ML Engineer
ServiceNow1 day ago
Base Salary
$143k - $243k/yr
Responsibilities
- Build production-quality components for an exploitability engine, including evidence ingestion, connectors, entity resolution, graph construction, and probabilistic scoring.
- Design, implement, test, and operate production ML components with strong software engineering fundamentals.
- Own component correctness and reliability through testing, evaluation, observability, and relevant metrics.
- Maintain data and model plumbing for graph accuracy, entity-resolution quality, evidence provenance, and decay.
- Prototype and evaluate new AI capabilities against cybersecurity problems.
- Participate in design and code reviews and collaborate with product, security R&D, and SecOps.
- Apply AI safety, security, and guardrail practices to production systems.
Requirements
- 3+ years of software engineering experience or equivalent practical experience.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline, or equivalent practical experience.
- Experience designing and delivering production software systems and taking prototypes to reliable, maintainable production solutions.
- Hands-on experience building or integrating production or near-production ML- or AI-powered applications, including 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.
- Working knowledge of cloud-native technologies, distributed systems, APIs, databases, scalable architectures, and data or graph systems.
- Interest or experience in cybersecurity areas such as vulnerability management, identity security, threat detection, or risk prioritization.
- Experience with AI-assisted development tools, coding agents, AI evaluation, safety, or guardrails is a plus.
- Cybersecurity or security-product experience is a plus.
Benefits
- Base pay is $143,200-$243,400, with equity when applicable, variable/incentive compensation, and benefits.
- Benefits include health plans, flexible spending accounts, a 401(k) plan with company match, ESPP, matching donations, flexible time away, and family leave programs.
- The role has a flexible work persona within ServiceNow’s distributed work model.
- Employee type is regular, and the position is in the AMS—North America and Canada region.
Tech Stack
Categories
About ServiceNow
ServiceNow builds a cloud platform for enterprise digital workflows, covering IT service management, customer service, HR service delivery, security operations, and operations management, plus tools for custom app development. It sells subscription SaaS to large organizations and public-sector agencies to automate processes and connect data across systems. Founded in 2004 and headquartered in Santa Clara, California, ServiceNow is a public company listed on the NYSE under the ticker NOW.