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Senior Staff Machine Learning Engineer

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Senior Staff Machine Learning Engineer in USA new

  • ServiceNow
  • Full time
  • Email
  • Santa Clara, CA

Responsibilities

  • Own the end-to-end architecture of the exploitability engine, from evidence ingestion and entity resolution through probabilistic attack-path analysis, ranking, and validation.
  • Develop probabilistic ranking, guided path search, correlated-control-failure modeling, uncertainty bands, and calibration loops.
  • Lead zero-to-one production-scale engineering and establish architecture, design, code review, and engineering quality standards.
  • Define core metrics including entity-resolution accuracy and calibration quality, and determine what to reuse versus build net-new.
  • Mentor senior engineers and provide technical leadership across teams through influence.
  • Partner with product, security R&D, and SecOps to translate customer problems into architecture and actionable decisions.
  • Establish AI safety, security, governance, and policy guardrails for agentic systems in production.

Requirements

  • 10+ years of software engineering experience, including leading the design and delivery of complex production systems.
  • Experience owning the technical architecture or leadership of a major system or work spanning multiple teams.
  • Hands-on experience building AI/ML-powered production systems, including probabilistic modeling, graph analytics, calibration, or evaluation.
  • Experience with modern AI technologies such as LLMs, RAG, embeddings, vector search, agentic harnesses and workflows, model evaluation, or AI observability.
  • Strong programming experience in Python and/or Java, Go, or a similar language; expert-level Python is expected.
  • Command of distributed systems, APIs, cloud-native technologies, databases, data or graph systems, and scalable architectures.
  • Experience taking ambiguous problems from zero to one and delivering reliable production systems used by others.
  • Technical leadership, architectural judgment, and mentorship experience across teams.
  • 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, or familiarity with modern security architectures and operations, is strongly preferred.
  • Experience with attack-path analysis, vulnerability management, identity security, threat intelligence, or detection and response is preferred.
  • Experience with AI-assisted development tools such as Claude Code, Codex, Cursor, or Windsurf is a plus.
  • Experience with AI evaluation, safety, governance, or policy guardrails is a plus.

Benefits

  • Base pay of $201,300-$352,300, plus equity when applicable and variable or incentive compensation.
  • Health plans including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, flexible time away, and family leave programs.
  • Flexible work persona within ServiceNow’s distributed work model, subject to role and location eligibility.
  • Regular employee position in the AMS - North America and Canada region.

Salary: $201k - $352k/yr

ServiceNow

ServiceNow delivers an AI-driven platform that integrates any AI, data, and workflow to help companies, particularly those in the Fortune 500, enhance their operations. Our technology empowers businesses to work smarter and more efficiently, making us a trusted partner in their journey of digital...

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