Hydrologic Modeler — ML-Driven Watershed Forecasts

NCSL International; Boulder (CO); On-site; USD 95,000 - 120,000; Full time

Benefits offered by this job

Personalized career growth plans

Job summary

Lynker Technologies in Boulder, CO, is seeking a Hydrologic Modeler to advance weather and water forecasting capabilities. The role involves training and evaluating large-scale hydrologic models, integrating ML approaches, and collaborating across Modeling, Science, and Platform teams.

The ideal candidate will have strong Python skills, experience with PyTorch, and a background in hydrology. This on-site position offers opportunities for impactful research and collaboration in a growing team.

Qualifications

• Master's in hydrology, water resources, engineering, or related field (or Bachelor's + 2 years experience in hydrology modeling).
• Background in hydrology with watershed/river system understanding.
• Strong Python skills and PyTorch experience.
• Understanding of model forcing generation and training workflows for large-scale models.
• Comfort with large gridded/time-series data, Git, and Linux.

Responsibilities

• Train, execute, and synthesize large-scale physics-based and ML hydrologic models.
• Analyze results to characterize performance, flow signatures, and hydrologic behavior; communicate findings.
• Calibrate, benchmark, and validate models; quantify uncertainty.
• Generate and quality-check model forcings and manage training datasets.
• Apply ML methods to hydrologic prediction (e.g., NeuralHydrology, dHBV).
• Develop, test, and improve hydrologic/hydraulic routing tools in Python.
• Collaborate with Modeling, Science, and Platform teams; share reproducible code and results.

Skills

Python

PyTorch

Large-scale modeling

Git

Linux

Data analysis

Education

Master's in hydrology or related field

Bachelor's + 2 years relevant modeling experience

Tools

NeuralHydrology

dHBV

Next Generation Water Resource Modeling Framework

Job description

Lynker Technologies in Boulder, CO, is seeking a Hydrologic Modeler to advance weather and water forecasting capabilities. The role involves training and evaluating large-scale hydrologic models, integrating ML approaches, and collaborating across Modeling, Science, and Platform teams.

The ideal candidate will have strong Python skills, experience with PyTorch, and a background in hydrology. This on-site position offers opportunities for impactful research and collaboration in a growing team.