DIMP Model Engineer

🕒 September 15

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Irth Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1995

☁️ SaaS

⚡ Energy

📡 Telecommunications

💰 Private Equity Round on 2015-07

SaaS • Energy • Telecommunications

Irth Solutions is a market-leading provider of a SaaS platform focused on enhancing resilience and reducing risk in the management of critical network infrastructure. Their solutions are trusted by energy, utility, and telecom companies across the U. S. and Canada, offering capabilities in damage prevention, training, asset inspections, land management, and 811 ticket management. By leveraging business intelligence, analytics, and geospatial data, Irth Solutions provides comprehensive situational awareness to proactively manage and mitigate risks in network infrastructure. The acquisition of OneBridge Solutions enhances their asset performance management offerings.

📋 Description

• Own gas distribution risk models within Irth’s analytical layer • Help define, build, and validate distribution threat models in collaboration with subject-matter experts and design-partner operators • Produce risk outputs that utilities can use to prioritize replacement programs and support regulatory proceedings • Translate the gas distribution threat framework into systematic threat identification methods and supporting data structures • Integrate model inputs from diverse datasets across Irth’s product offerings • Identify gaps, inconsistencies, and limitations in source data and determine how they should be reflected in model inputs and outputs • Extend threat coverage across legacy material corrosion, plastic embrittlement, excavation damage, cross-bores, and other gas distribution threats • Own model content, including what the model computes, why it computes it, and the evidence supporting validity • Work closely with dedicated ML Ops and data engineering roles responsible for model serving, data pipelines, deployment, and monitoring infrastructure

🎯 Requirements

• Strong depth in one or more relevant capability areas; a single candidate is not expected to have all listed capabilities • Experience in gas distribution integrity management, including program design, threat identification under 49 CFR Part 192, Subpart P, and replacement prioritization • Experience with legacy material risk, including cast iron, bare steel, vintage plastics, and plastic embrittlement • Experience with leak survey, methane detection, and cross-bore programs • Experience applying machine learning to physical asset data, including time-series, survival, anomaly-detection, and classification models

🏖️ Benefits

• Competitive compensation package based on experience and qualifications • Medical, Dental, and Vision Insurance • 401(k) Plan with Company Match • Generous Paid Time Off (PTO) • Company-Paid Holidays • Flexible Work Options / Work-from-home opportunities, depending on role and business needs • On-Call Compensation for eligible on-call shifts