Staff Machine Learning Engineer

About the team:

• The Security and Risk Engineering organization builds scalable, AI-powered security solutions.
• Values include AI-first thinking, clean architecture, intuitive experiences, and continuous learning.
• This is a zero-to-one incubation for a new class of exposure analysis.

What you'll own:

• A major subsystem end-to-end—probability core, exposure graph, or calibration loop.
• Design decisions within your subsystem and its interfaces with the rest of the engine.
• Metrics that prove your subsystem works—accuracy, calibration, or precision.

What you'll do:

• Take a major, ambiguous subsystem from design through production at scale.
• Drive design and code reviews, and raise the engineering bar around you.
• Mentor engineers and lead a workstream through influence.

What you bring:

• A track record of owning a significant system end-to-end in production.
• Hands-on depth in agentic and LLM systems or probabilistic/ML-driven scoring.
• Proven delivery of an ambiguous problem to a reliable production system.