In A Nutshell
Join the development team of the Varda machine learning weather prediction system.
Responsibilities
- Further develop and train machine learning model in Anemoi with a focus on regional weather predictions.
- Improve the system by integrating observation data or working on ensemble methods.
- Work on integrating the machine learning pipeline into production.
- Fine tune and validate model against existing numerical model and observations.
- Curate and validate ML training datasets.
Skillset
- University degree (MSc or PhD) in data science, computer science, physics or a related field.
- Experience in training and validating large-scale deep-learning models on distributed systems.
- Strong programming skills in Python and familiarity with a modern ML stack (e.g., PyTorch, hydra, zarr, dask) and best practices MLOps.
- Experience in handling and processing large datasets or experience in high-performance computing (HPC) is an advantage.
- Experience with weather and climate applications and weather ensemble forecasting is an advantage.
- You are creative, solution-oriented, and have excellent communication skills and the ability to work with interdisciplinary teams.
- Good knowledge of spoken and written English.