Senior ML Explainability Engineer — Remote + Equity

Elloe AI is the trust layer for AI, and this Staff ML Systems Engineer role owns the explainability stack used to inform deployment decisions. You’ll build SHAP overlays that run in production with sub-100ms latency and real trace logs, tied to actual decisions.

We expect you to ship ML infrastructure at real-world scale, reason about SHAP limits, and collaborate across policy, risk, and product to ensure compliance and auditable outputs.