
DIMP Model Engineer
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in Canada, +1 more country.
β’ Take ownership of gas distribution risk models within Irthβs analytical framework.
β’ Collaborate with subject-matter experts and design-partner operators to establish gas distribution threat frameworks and model sets.
β’ Develop risk models and guide them through the validation process.
β’ Generate explainable, calibrated, and justifiable risk rankings for utility replacement programs and regulatory proceedings.
β’ Manage model content, detailing what the model calculates, the rationale behind it, and the evidence supporting its validity.
β’ Convert the gas distribution threat framework into systematic methods for threat identification and supporting data structures.
β’ Integrate model inputs from various datasets across Irthβs product offerings.
β’ Detect gaps, inconsistencies, and limitations in source data, and assess how they should be represented in model inputs and outputs.
β’ Broaden threat coverage to include legacy material corrosion, plastic embrittlement, excavation damage, cross-bores, and other gas distribution threats.
β’ Work closely with dedicated ML Ops and data engineering teams responsible for model serving, data pipelines, deployment, and monitoring infrastructure.
β’ Relevant experience in gas distribution integrity management, encompassing program design, threat identification as per 49 CFR Part 192, Subpart P, and replacement prioritization.
β’ Familiarity with legacy material risks, including cast iron, bare steel, vintage plastics, and plastic embrittlement.
β’ Experience with leak survey, methane detection, and cross-bore programs.
β’ Application of machine learning to physical asset data, including time-series, survival, anomaly-detection, and classification models.
β’ Strong expertise in one or more pertinent capability areas.
β’ Curiosity and judgment to collaborate across different capability areas.
β’ Ability to work with subject-matter experts, ML Ops, and data engineering teams.
β’ Competitive compensation package based on experience and qualifications.
β’ Medical, Dental, and Vision Insurance.
β’ 401(k) Plan with Company Match.
β’ Generous Paid Time Off (PTO).
β’ Company-Paid Holidays.
β’ Flexible Work Options / work-from-home opportunities, depending on role and business needs.
β’ On-Call Compensation for eligible on-call shifts.
Mercor
RTX
ICF
HETI
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