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Senior ML Engineer

ServiceNow
Santa Clara, USA
Full-time
Senior · 3+ years experience
Onsite
Discovered 5 days ago
javapythonservicenowtypescript

Full Job Posting

What you’ll 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 applications—RAG, 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 problems—vulnerability 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.
  • 3+ years of software engineering experience, or equivalent practical experience.
  • The primary skills required are Predictive Modeling, Graph ML, Security Analytics, Anomaly Detection, Risk Scoring, LLMs/Agentic AI, and MLOps, which align with advanced machine learning and AI engineering rather than traditional software development.
  • 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.
  • Bachelor’s or Master’s 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 $143,200 - $243,400, 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.
  • 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.

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