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Machine Learning Engineer
Design machine learning systems to enhance rainfall through precision cloud seeding technology.
Remote
Mid-Level
$135,000 - 195,000 USD / year
4 weeks ago
Rainmaker
Ending global water scarcity through advanced modification technology.
Job is no longer active
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✨ About The Role
- The Machine Learning Engineer will design ML systems to predict optimal seeding conditions by integrating various data sources.
- The role involves developing autonomous guidance systems for aircraft navigation in complex weather systems.
- Building validation systems to quantify the additional precipitation created is a key responsibility.
- The engineer will construct robust data pipelines that connect ground radar networks with public weather data sources.
- Collaboration with meteorologists to incorporate physical constraints and validate predictions against meteorological theory is essential.
- The position requires deploying and optimizing models for icing detection on UAVs.
âš¡ Requirements
- A Master's or PhD degree in Machine Learning, Computer Science, or a related field is essential for this role.
- Candidates should have a strong track record of building production ML systems that have demonstrable impact.
- Deep expertise in spatial-temporal data processing and real-time prediction is crucial for success in this position.
- Extensive experience with PyTorch or TensorFlow and ML deployment pipelines is required.
- A proven ability to handle complex sensor fusion and noisy environmental data is necessary.
- A strong foundation in physics and a keen enthusiasm for learning atmospheric science will be beneficial.
- Clear communication skills and the ability to collaborate effectively with domain experts are important for this role.
Machine Learning Engineer
Remote
$135,000 - 195,000 USD / year
Software
Job is no longer active
About Rainmaker
Ending global water scarcity through advanced modification technology.