Senior Staff Machine Learning 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 Staff Engineer you own the architecture of an security harness with novel exploitability engine end to end and youre accountable for the decisions that shape everything downstream. You set technical direction make the hard calls defensible and multiply the engineers around you. 

What youll own 

• The end-to-end architecture of the exploitability enginefrom evidence ingestion and entity resolution through the attack-path probability core and choke-point ranking to the validation loop that keeps predictions honest. 
• The decisions that cascade through the system: calibrated probability versus ordinal rank identity as a first-class graph edge assume-breach seeding and how the most critical assets are defined. These are model-shaping calls not implementation details. 
• The probabilistic ranking core: edge-traversal probability guided path search with hop and likelihood limits correlated-control-failure modeling and honest uncertainty bands. 
• The calibration and validation loopcanaries purple-team and incident replay calibration measured by zone and vectorthat turns modeled weights into evidence rather than opinion. 
• Make-or-break metrics as first-class engineering targets starting with entity-resolution accuracy and calibration quality. 
• The build-on strategyextending the existing portfolio rather than rebuilding it and knowing precisely what to reuse and what must be net-new. 

What youll do 

• Lead zero-to-one work at production scale: turn an ambiguous novel problem into a reliable system other teams build on and set the bar where no precedent exists. 
• Drive technical direction across architecture design and code reviews and raise the engineering bar across the incubation. 
• Mentor senior engineers and lead by influence not title. 
• Partner with product security R&D SecOps to turn customer problems into architecture and translate that architecture into decisions leaders can act on. 
• Establish AI safety security governance and guardrails for agentic systems running in production. 

What you bring 

• A track record of owning architecture across a large system or multiple teams with deep experience operating production-quality software. 
• Hands-on depth in both agentic and LLM systems and probabilistic or ML-driven scoringgraph modeling calibration search and optimization or risk and probability engineering. 
• Proven zero-to-one at scale: youve taken an ambiguous problem to a reliable production system that others depend on. 
• The judgment to make consequential architecture decisions under uncertainty and make them defensible to engineers and executives alike. 
• Command of distributed systems APIs cloud-native development and data or graph systems. 
• Expert-level Python and/or Java Go or TypeScript. 
• Technical leadership and mentorship that moves teams through influence. 
• Applied interest in security problemsattack-path analysis vulnerability management identity security threat intelligence or detection and responseis strongly preferred. 
• 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 governance or policy guardrails is a plus. 

Qualifications :

• 10 years of software engineering experience including leading the design and delivery of complex production systems. 
• Demonstrated experience as the technical owner or lead for a major system or across teams. 
• Depth building AI/ML-powered production systems; probabilistic modeling graph analytics or calibration and evaluation is a strong plus. 
• Modern AI experience: LLMs RAG embeddings vector search agentic harness and 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 or familiarity with modern security architectures and operations is strongly preferred. 

For positions in this location we offer a base pay of $201300 - $352300 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