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# Research Associate, Atmospheric Science, Machine Learning

- **Company:** DeVine Consulting, Inc.
- **Location:** Silver Spring, MD, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $90,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Cloud Computing, Machine Learning, NetCDF, Tensorflow, Google Cloud, Pytorch, Deep Learning, Information Technology, Operational Systems
- **Published:** July 1, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9413ece947ea3120

## About the Role

* Graduate degree in atmospheric science, meteorology, computer science, or a related field
 * 2+ years of experience developing ML models for weather applications
 * Strong ML engineering fundamentals, including model training, validation, evaluation, and documentation
 * Training, running, and verifying AI-based weather prediction models
 * Working in cloud-based computing environments
 * Handling large meteorological datasets and common data formats at scale
 * Modern deep learning frameworks (e.g., PyTorch or TensorFlow)
 * Large geophysical dataset formats (GRIB, NetCDF, ZARR)
 * Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow)
 * Familiarity with cloud-based computing environments (AWS, GCP, Azure)
 * Strong written and verbal communication skills
 * Ability to manage multiple projects and balance competing priorities

About the position:

 * Position Type: Full-time, Must be U.S. Citizen

## Description

* Conduct innovative research at the intersection of weather prediction and machine learning, including approaches that leverage observations from satellite constellation
 * 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
 * Communicate results through internal reviews, customer discussions, and, where appropriate, conferences or publications
 * Contribute broadly to improving forecasts and overall product performance


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