DIMP Model Engineer

Risk Model Engineer — Gas Distribution IntegrityLocation: Remote (US or Canada)Department: Insights (AI/ML)Reports to: Data Science Team LeadAbout The RoleIrth 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:A governed, cross-product data platform built on Databricks and AzureAn AI-powered ingestion layer that normalizes, repairs, and enriches customer data without services-heavy onboardingA reusable analytical layer that runs industry-standard, Irth-developed, and customer-built risk models against that dataWe 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 Responsibilities2. Model Development Threat Framework & IntegrationTranslate the gas distribution threat framework, in collaboration with subject-matter experts, into systematic threat identification methods and supporting data structuresIntegrate model inputs from diverse datasets across Irth's product offeringsIdentify gaps, inconsistencies, and limitations in source data and determine how they should be reflected in model inputs and outputsExtend threat coverage across domains, including:Legacy material corrosionPlastic embrittlementExcavation damageCross-boresOther gas distributionRequirementsSkills We're Hiring ForWe are hiring across a broad range of capabilities and do not expect a single candidate to have all of them. We are looking for strong depth in one or more areas and the curiosity and judgment to work across the others.Relevant experience may include:Gas distribution integrity management — program design, threat identification under 49 CFR Part 192, Subpart P, and replacement prioritization, from the operator, consultancy, regulator, or technology-vendor sideLegacy material risk — cast iron, bare steel, vintage plastics, and plastic embrittlementLeak survey, methane detection, and cross-bore programsMachine learning applied to physical asset data, including time-series, survival, anomaly-detection, and classification models trainerBenefitsBenefitsCompetitive Salary - A competitive compensation package based on experience and qualificationsMedical, Dental, and Vision Insurance - Comprehensive insurance coverage to support you and your family401(k) Plan with Company MatchGenerous Paid Time Off (PTO) - Time off to support work-life balance and personal needsCompany-Paid Holidays - Paid holidays throughout the yearFlexible Work Options - Work-from-home opportunities are available, depending on role and business needsOn-Call Compensation - Additional pay for eligible on-call shifts