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Atmospheric Scientists Jobs (NOW HIRING)

Zymtronix Catalytic Systems Inc

NY · On-site

$62.23 - $88.75/hr

Postdoctoral Associate - Earth and Atmospheric Sciences Department of Earth and Atmospheric Sciences at Cornell University seeks a postdoctoral associate to develop innovative approaches to hurricane ...

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$81.5K

$151K

How much do atmospheric scientists jobs pay per year?

As of Sep 7, 2026, the average yearly pay for atmospheric scientists in the United States is $81,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $99,000.00 per year, depending on experience, location, and employer.

What is the difference between Atmospheric Scientists vs Meteorologists?

AspectAtmospheric ScientistsMeteorologists
CredentialsBachelor's or higher in atmospheric science, meteorology, or related fieldsBachelor's or higher in meteorology or atmospheric science
Work EnvironmentResearch labs, universities, government agenciesWeather stations, broadcast media, government agencies
Industry UsageResearch, academia, government research projectsWeather forecasting, public communication, media

Atmospheric Scientists and Meteorologists both study the atmosphere, but Atmospheric Scientists focus more on research and understanding atmospheric processes, often working in labs or academia. Meteorologists primarily forecast weather and communicate it to the public, working in media or weather services. While their credentials overlap, their work environments and industry applications differ.

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Atmospheric Scientists jobs near you
Infographic showing various Atmospheric Scientists job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $81,521 per year, or $39.2 per hour.

MS, PhD, Research Scientist, Machine Learning, Atmospheric Science

DeVine Consulting, Inc.

Silver Spring, MD • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Key responsibilities

  • Conduct research at the intersection of weather prediction and machine learning, including leveraging 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.

Job description

DeVine provides technical and scientific support to government clients in Oceanography & Atmospheric Science among other technical disciplines.
Our company is looking for a Research Scientist, with experience in Atmospheric Science and Machine Learning (ML), to join DeVine in a full time capacity. This position will be supporting a government customer, hence only US Citizens may be considered for hire.  Candidates who meet/exceed every requirement may be considered for remote work.
DeVine contributes to projects in data modeling, remote sensing & machine learning. We collaborate with our clients in scientific analysis of the Earth’s atmosphere & ocean and land surfaces, as well as astronomy and astrometry. We help our clients test and operate space-based, air-based, subsurface, and land and ocean surface-based sensors.
The successful hire will contribute to improvements in weather forecast performance to deliver more accurate weather insights to our customers.
If your experience is relevant to the requirements below, and you’d enjoy working in Silver Spring, MD, then please apply!
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

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
About the position:
  • Position Type: Full-time, Must be U.S. Citizen
  • Location: Silver Spring, MD
  • Benefits: Medical, Dental, Vision, 401K, Life Insurance, Paid Holidays, Paid Sick Leave and Paid Vacation
  • Compensation: $120K to $150K per year salary range DOE and skills

Equal Opportunity Employer
We are committed to a policy of assuring that all applicants for employment are recruited, hired and assigned on the basis of qualifications and merit without discrimination based on any protected classification, including, but not limited to, race, color, religion, sex, sexual orientation, national origin, veteran status, age, disability, handicap, marital status, or any other characteristic protected by applicable laws.

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