Machine Learning Engineer

Job Summary

Seeking a full-time Machine Learning Engineer with expertise in Atmospheric Science and Machine Learning to conduct innovative research, develop forecast improvements, and collaborate with engineering teams, with potential for remote work for qualified candidates.

Key responsibilities:

• Conduct innovative research at the intersection of weather prediction and machine learning, utilizing satellite observations
• Develop, verify, and document forecast improvements that provide 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 ML engineering fundamentals, including model training, validation, evaluation, and documentation
• Experience with cloud-based computing environments and handling large meteorological datasets
• Proficiency in modern deep learning frameworks such as PyTorch or TensorFlow