Collaborate with meteorologists and partners to develop forecast tools for hazardous weather using scientific expertise.
Design and train machine learning models to identify severe weather precursors and automate data pipelines.
Develop web applications and training materials to transition new tools into operational forecasting.
Lynker is a growing, employee-owned business specializing in professional, scientific, and technical services. The company focuses on hydrology/water sciences, geospatial analysis, IT, resource management, and conservation with a streamlined team-oriented culture.
Develop, integrate, and optimize scientific software for high-performance numerical weather prediction systems.
Support the operational transition of the cloud-based Warn-on-Forecast System (WoFS) Version 1 and development of Version 2.
Conduct verification, benchmarking, performance evaluation, and maintain version-controlled code repositories.
Lynker is a growing, employee-owned business specializing in professional, scientific, and technical services. They offer a team-oriented work environment with a culture of skilled professionals who embrace sound science and creative solutions.