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We are seeking a Junior Associate Scientist with good expertise in AI/ML algorithms and a passion for Earth system modeling through data-driven approaches. The ideal candidate will have solid proficiency in PyTorch and in machine-learning model development, including experience with model optimization on multi-GPU systems. The role requires the ability to work effectively in a multidisciplinary environment spanning mathematics, physics, computer science, and climatology, as well as strong skills in task prioritization and efficient problem-solving.
Job Responsibility:
Development of a foundation model for Earth system modeling
Optimize ML models on multi-GPU architectures
Model evaluation for computational performance and accuracy of the results
Write documentations and reports
Requirements:
Master’s degree in Mathematics, Physics, Computer Engineering, or equivalent fields
Minimum of 3 years of work experience in computer engineering, model development, and neural networks