Senior Climate Machine Learning Scientist

Your Team Responsibilities

• Build physical climate risk models using state-of-the-art methodologies including AI numerical weather prediction applied to climate applications; stochastic ensembles; earth observing foundation models; as well as traditional physics-based models. • Collaborate with our climate scientists, hydrologists, fire scientists, data scientists, and data engineers to translate business requirements into scientific solutions. • Partner with data, cloud, and security teams to design scalable and maintainable scientific modeling pipelines. • Support a culture of scientific rigor and excellence in model design, including conducting validation studies to guide continuous improvement of those models.

Your Key Ressponsibilities

• Architect and implement machine learning solutions for climate risk assessments. • Produce robust, reproducible models which will stand up to validation studies in a changing climate. • Follow team standards for machine learning applications to create physical risk models. • Keep up with the latest developments in machine learning, extreme weather, and climate and bring those developments to improve our models and risk assessments. • Train machine learning models written in PyTorch or JAX, then extend them for large scale inference on global scales. • Use dashboards such as mlflow, Weights and Biases, etc. to track and communicate model performance and results. • Be familiar with the latest foundation models such as Aurora, and the…