Machine Learning Engineer, Atmospheric Science, Data Science

About the Position

Full-time position supporting a government customer in Silver Spring, MD. Only U.S. Citizens may be considered for hire. Candidates who meet or exceed every requirement may be considered for remote work.

Responsibilities

• 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

Required Experience and Credentials

• 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
• 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

Benefits

• Medical, Dental, Vision
• 401K
• Life Insurance
• Paid Holidays, Paid Sick Leave, and Paid Vacation

Pay

$120K to $150K per year salary range DOE and skills