Model Engineer

Irth Solutions

. Migrate existing probabilistic model code to the risk management platform .

Posted 10/10/2026full-timeRemote • United States, CanadaMid-LevelSenior💰 $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and validating quantitative risk models for physical infrastructure, with a strong focus on pipeline integrity standards and machine learning applications. Capable of producing explainable risk outputs and collaborating effectively with cross-functional teams to ensure model accuracy and compliance.

Highest-signal resume keywords

Quantitative Risk ModelingPipeline Integrity StandardsMachine Learning ApplicationsGeospatial AnalysisModel Validation Evidence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Probabilistic Model MigrationAnomaly Detection ModelsMonte Carlo SimulationCorrosion Growth ModelingFracture MechanicsInline Inspection Data AnalysisTime-Series AnalysisStructural ReliabilityUncertainty QuantificationFitness-For-Service Assessment

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

ArcGISPostGISAI-Assisted Development Tools

Industry Keywords

ASME B31.8S49 CFR 192CSA Z662Pipeline IntegrityUtility Assets

Tech Stack

Tools & technologies

PostGIS

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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