Research Associate, Atmospheric Science, Machine Learning

Duties

• 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

Requirements

• 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 TensorFlow, PyTorch)
• Familiarity with cloud-based computing environments (AWS, GCP, Azure)
• Strong written and verbal communication skills
• Ability to manage multiple projects and balance competing priorities

Qualifications

• Position Type: Full-time
• Location: Silver Spring, MD
• Benefits: Medical, Dental, Vision, 401K, Life Insurance, Paid Holidays, Paid Sick Leave and Paid Vacation
• Compensation: $90K to $110K per year salary range DOE and skills

Skills

• Deep learning frameworks (e.g., PyTorch, TensorFlow)
• Large geophysical dataset formats (GRIB, NetCDF, ZARR)
• Cloud-based computing environments (AWS, GCP, Azure)

Benefits

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