Model Engineer

🕒 October 10

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 10%

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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

• Migrate existing probabilistic model code to the risk management platform • Validate migrated results against the current implementation • Integrate model inputs from diverse datasets across Irth’s product offerings • Extend threat coverage across corrosion, cracking, third-party damage, outside forces, and other transmission pipeline threats • Design and build time-series, anomaly detection, and geospatial models for inspection, sensor, and maintenance data • Implement Irth’s own model library alongside the existing model suite • Produce explainable and defensible risk outputs for pipeline operators and regulators • Own model content, including computations, rationale, and evidence demonstrating correctness • Work closely with ML Ops and data engineering teams responsible for serving, pipelines, deployment, and monitoring infrastructure • Collaborate with data engineering, ML Ops, data science, and subject-matter experts from concept through validated implementation • Support validated parity of existing models on the new platform • Implement and support customer-built models on the platform • Ensure model outputs are reproducible and traceable

🎯 Requirements

• Experience building or validating quantitative risk, reliability, or failure models for physical infrastructure • Pipeline experience is ideal; experience with rail, structural, water, electric, or other utility assets transfers well • Familiarity with pipeline integrity standards and regulations, such as ASME B31.8S, 49 CFR 192, CSA Z662, or equivalent frameworks • Experience with fitness-for-service and remaining-strength assessment, corrosion growth modeling, or fracture mechanics • Experience working with inline inspection (ILI) data, including vendor formats, data alignment, anomaly classification, and feature disposition • Experience with Monte Carlo simulation, structural reliability, and uncertainty quantification • Experience applying machine learning to physical asset data, including time-series, survival, anomaly detection, and classification models trained and validated against sparse or imbalanced events • Experience with consequence-area and class-location analysis • Geospatial analysis experience, including ArcGIS, PostGIS, or linear referencing • Experience producing model validation evidence suitable for regulatory, audit, customer, or other formal review • Strong software engineering practices, including testing, code review, reproducibility, and disciplined use of AI-assisted development tools • Deep expertise in one or more listed capability areas, with ability to learn and collaborate across others

🏖️ 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

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