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# Machine Learning Engineer

- **Company:** N-Link Corporation
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Unix, Desktop Computing, Job Scheduling, Python (Programming Language), Machine Learning, Cloud Services, Tensorflow, Software Engineering, Parquet, Graphics Processing Unit (GPU), Pytorch, Data Assimilation, Software Version Control
- **Published:** July 19, 2026
- **Apply:** https://jobs.military.com/career/285276/machine-learning-engineer-maryland-md-college-park

## About the Role

* Experience developing, training and deploying AI-based systems applied to geophysical systems.\n
 * Experience with common AI frameworks such as PyTorch, TensorFlow.\n
 * Experience working with earth observation data, including conventional observations, satellite, radar. \n
 * Excellent Python programming skills.\n
 * Practical experience utilizing High Performance Computers (HPCs) and GPUs.\n
 * Proven experience working in a UNIX environment with advanced scripting languages.\n
 * Good communication skills, both oral and written, in English.\n, * In-depth knowledge of data assimilation techniques (observation forward modeling, quality control, variational-based and/or ensemble methods).\n
 * Strong foundation in the physical, statistical and mathematical basis of geophysical modeling (atmospheric and/or environmental).\n
 * Experience with cloud platforms and use of IDEs for development.\n
 * Experience with cloud-native data formats such as Zarr, Parquet.\n
 * Experience with compiled languages.\n
 * Comfort using agentic AI tools to accelerate development.\n
 * Experience executing numerical models on HPC platforms using parallelization frameworks and job scheduling systems.\n
 * Familiarity with coupled earth system models.\n
 * Knowledge of modern software engineering practices (requirements gathering, design, prototyping, version control, integration, testing, and documentation).\n
 * Prior experience in model testing, evaluation, or knowledge of verification principles.\n

## Description

The Machine Learning Engineer will perform their job duties to a high standard, working both independently and collaboratively.The core responsibility is to assist in the development, implementation, testing, and evaluation of an AI-based Real-Time Mesoscale Analysis (AI-RTMA) system in support of NOAA's National Blend of Models (NBM). The AI-RTMA system will generate high spatial and temporal resolution analyses of meteorological variables to reduce biases in the NBM fields.. Because these fields serve as the foundation for gridded forecasts issued by the National Weather Service, this system will directly contribute to improved forecast quality.


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