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.

Spot any inaccurate information? Have a job to share? Let us know.