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
Platform Security Core builds foundational security infrastructure and AI-driven detection systems for enterprise-scale operations. Our mission is to make security proactive, intelligent, and seamlessly integrated into the ServiceNow platform. We are looking for a hands-on Senior Staff Engineer (Technical Leader) with deep expertise in machine learning systems, inference engines, and security architecture to lead next-generation AI security initiatives.
What they're looking for
- Bachelor's degree with 10+ years of software development experience, OR Master's degree with 8+ years, OR PhD with 6+ years, OR equivalent work experience
- Hands-on experience implementing machine learning algorithms from scratch—not just using libraries, but understanding how models work at a fundamental level
- Deep programming expertise in Java and/or Python, including systems-level knowledge and performance optimization
- Proven track record building and deploying machine learning systems in production environments at significant scale
- Strong fundamentals in computer science: algorithms, data structures, complexity analysis, system design, and distributed systems
More about this role
Platform Security Core builds foundational security infrastructure and AI-driven detection systems for enterprise-scale operations. Our mission is to make security proactive, intelligent, and seamlessly integrated into the ServiceNow platform. We are looking for a hands-on Senior Staff Engineer (Technical Leader) with deep expertise in machine learning systems, inference engines, and security architecture to lead next-generation AI security initiatives.
As a Senior Staff AI Security Engineer, you will architect and deliver enterprise-scale AI security solutions that integrate machine learning, reasoning engines, and real-time inference into core security systems. You will bring strong technical leadership, hands-on machine learning depth, and the ability to design and operate intelligent security systems that learn and adapt.
- Design and implement ML-driven security systems: Build machine learning algorithms for identity risk assessment, anomalous access detection, malware classification, and sensitive data discovery, applying agent guardrails, correlation from telemetry to detect misuse or malicious intent.
- Build inference engines and reasoning systems: Architect...
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