| Location | CA (Remote) |
Risk Model Engineer - Gas Distribution Integrity
Location: Remote (US or Canada)
Department: Insights (AI/ML)
Reports to: Data Science Team Lead
About the Role
Irth is building a new AI-driven threat and risk management platform for pipeline asset integrity. The platform brings together three capabilities that have never previously lived in one place at Irth:
We are hiring a Risk Model Engineer to own the gas distribution risk models within that analytical layer.
Distribution is a new model domain for the platform. The threat framework and model set are being defined now in collaboration with subject-matter experts and design-partner operators. In this role, you will help define the models, build them, and take them through validation-producing outputs that utilities can use to prioritize replacement programs and support regulatory proceedings.
The modeling work focuses on large populations of buried assets with relatively few observed failures, incomplete records, and limited direct inspection data. The work spans physics-based probabilistic models and machine learning, with an emphasis on producing risk rankings that remain explainable, calibrated, and defensible.
You will own the model content: what the model computes, why it computes it, and the evidence supporting its validity.
Productionization-including model serving, data pipelines, deployment, and monitoring infrastructure-is owned by dedicated ML Ops and data engineering roles with whom you will work closely.
Key Responsibilities