Machine Learning Engineer

Job Summary

To support a government customer, the full-time Machine Learning Engineer will conduct innovative research in weather prediction and machine learning, develop forecast improvements, and collaborate with engineering teams to transition research into operational systems, with potential for remote work for qualified candidates.

Key responsibilities

• Conduct research at the intersection of weather prediction and machine learning using satellite observations
• Develop, verify, and document forecast improvements that deliver measurable value to customers
• Partner with engineering and product teams to transition research advances into scalable operational systems

Required qualifications

• Graduate degree in atmospheric science, meteorology, computer science, or a related field
• 4+ years of experience developing ML models for weather applications
• Strong fundamentals in ML engineering, including model training, validation, and evaluation
• Experience with cloud-based computing environments and handling large meteorological datasets
• Proficiency in modern deep learning frameworks such as PyTorch or TensorFlow