Senior ML Engineer

Engineer

Senior ML Engineer

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  • Date posted
    September 10, 2026
  • Expiration date
    December 10, 2026
  • Application ends
    December 10, 2026

As a Senior ML Engineer, you build core components of a novel exploitability engine—shipping 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 you’ll own

  • Well-scoped components of the engine—evidence ingestion and connectors, entity resolution, graph construction, or parts of the probability core—built 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 accurate—entity-resolution quality, evidence provenance, and decay.

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.
  • Are you interested in this position?

     

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