Machine Learning Engineer

Position: Machine Learning Engineer at WindBorne Systems
Drive innovation in weather forecasting with Wind Borne Systems as a Machine Learning Research Engineer in Redwood City, CA. Utilize large datasets and AI to enhance predictive models and weather intelligence.

At Wind Borne Systems, you'll take part in groundbreaking research at the intersection of machine learning and meteorology. This role focuses on AI-based data assimilation, developing foundational weather models, and tackling complex datasets. Enthusiasm for machine learning is crucial, alongside strong skills in Python and PyTorch for effective model development.

Key Responsibilities:

• Develop AI methods for real-time data assimilation

• Create a comprehensive foundation model for weather variables

• Clean and combine large, complex weather datasets

• Rapidly test and refine experimental results

• Build reusable systems from successful experiments

Requirements:

• Strong research design and hypothesis formulation skills

• Deep understanding of machine learning principles

• Proficient in Python and Py Torch

• Experience with large datasets and reliable pipelines

• Familiarity with geospatial or time-series data is a plus

Contribute to pioneering weather intelligence solutions at Wind Borne Systems.
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