Senior ML Engineer

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. Were building a new class of exposure analysis that ranks security work by exploitabilitywhere an attacker could realistically get inrather 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 engineshipping 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 youll own 

• Well-scoped components of the engineevidence ingestion and connectors entity resolution graph construction or parts of the probability corebuilt to production quality. 
• The correctness and reliability of what you ship: tests evaluation observability and the metrics that show your component works. 
• Turning ambiguous requirements into working code with guidance on the calls that shape the wider system. 
• The data and model plumbing that keeps the graph accurateentity-resolution quality evidence provenance and decay. 

What youll do 

• 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. 

What you bring 

• Solid software engineering fundamentals and experience operating production-quality software. 
• Hands-on experience building ML- or LLM-powered applicationsRAG embeddings agents or probabilistic or ML-driven scoring. 
• Experience taking a prototype to a reliable maintainable production solution. 
• Working knowledge of distributed systems APIs cloud-native development and data or graph systems. 
• Strong Python and/or Java Go or TypeScript. 
• Interest in security problemsvulnerability management identity security threat detection or risk prioritization. 
• Experience with AI-assisted development tools and coding agents such as Claude Code Codex Cursor or Windsurf is a plus. 
• Experience with AI evaluation safety or guardrails is a plus. 

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 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. 
• Bachelors or Masters degree in Computer Science Artificial Intelligence Machine Learning or a related technical discipline or equivalent practical experience. 
• Cybersecurity or security-product experience is a plus. 

For positions in this location we offer a base pay of $143200 - $243400 plus equity (when applicable) variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location. We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information :

Work Personas

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 orientation national origin age disability gender identity  veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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Remote Work :

No

Employment Type :

Full-time