Machine Learning Engineer

Position: Machine Learning Engineer at WindBorne Systems
Transform weather forecasting with Wind Borne Systems as a Machine Learning Research Engineer. Leverage your skills in Python and PyTorch to solve real-world problems using innovative data sources.

As a key member of Wind Borne Systems, you will work on ambiguous research challenges, translating customer needs into machine learning solutions.

Your role involves rapid prototype development and the ownership of projects from inception to execution. With a focus on model and data adaptation, your contributions will directly impact our ability to provide accurate and timely weather intelligence.

Key Responsibilities:

• Translate customer needs into machine learning experiments

• Rapidly build prototypes and analyze datasets

• Own end-to-end project management and execution

• Customize models for specific forecasting and operational needs

• Present research findings and communicate project progress

Requirements:

• Strong Python and PyTorch proficiency

• Experience with loosely defined technical problems

• Excellent written and verbal communication skills

• Comfort with evolving research and engineering tasks

• Familiarity with weather or climate-related data is a plus

Utilize your expertise in machine learning to drive impactful weather forecasting solutions.
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