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Meteorology Computer Science Jobs (NOW HIRING)

Pae

Earth Science Software Engineer (ES4)

Huntsville, AL · On-site +1

Degree in Earth Science, Atmospheric Science, Meteorology, Computer Science, Software Engineering, Information Systems, Remote Sensing or a related technical field from an ABET-accredited university ...

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Meteorology Computer Science information

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$96.3K

$122K

How much do meteorology computer science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for meteorology computer science in the United States is $96,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $98,500.00 per year, depending on experience, location, and employer.

How do meteorology computer scientists typically collaborate with atmospheric scientists and data analysts on weather prediction projects?

Meteorology computer scientists frequently work in multidisciplinary teams, partnering closely with atmospheric scientists to understand weather phenomena and with data analysts to interpret large datasets. They often develop and optimize algorithms for weather models, ensuring that these models accurately incorporate scientific insights and are computationally efficient. Collaboration usually involves regular meetings to discuss model updates, troubleshoot issues, and analyze results, fostering a dynamic environment where expertise from different fields contributes to more accurate weather forecasting. This teamwork not only enhances project outcomes but also provides valuable opportunities for professional growth and learning.

What are the key skills and qualifications needed to thrive as a Meteorology Computer Scientist, and why are they important?

To excel as a Meteorology Computer Scientist, you need a strong background in computer science, data analysis, and atmospheric science, typically supported by a degree in meteorology, computer science, or a related field. Proficiency in programming languages like Python, Fortran, or C++, as well as experience with numerical weather prediction models and data visualization tools, is essential. Strong problem-solving skills, attention to detail, and effective teamwork are critical soft skills for collaborating on complex modeling projects. These abilities are crucial for developing accurate weather models and ensuring reliable forecasts that inform public safety and planning.

What is meteorology computer science?

Meteorology computer science is an interdisciplinary field that combines principles from meteorology (the study of weather and climate) with computer science techniques. Professionals in this area use programming, data analysis, simulation, and machine learning to model atmospheric phenomena, process large weather datasets, and improve forecasting methods. This field is crucial for advancing weather prediction, climate modeling, and environmental monitoring by leveraging computational power and algorithms.

What is the difference between Meteorology Computer Science vs Meteorology Data Analysis?

AspectMeteorology Computer ScienceMeteorology Data Analysis
Required CredentialsBachelor's or higher in Computer Science, Meteorology, or related fields; programming skillsBachelor's or higher in Meteorology, Atmospheric Science, or related fields; data interpretation skills
Work EnvironmentResearch labs, tech companies, government agencies; focus on software and systemsWeather stations, research centers, forecasting offices; focus on data collection and analysis
Employer & Industry UsageTech firms, meteorological agencies, research institutionsWeather services, environmental agencies, research organizations

While Meteorology Computer Science emphasizes software development, programming, and system management within meteorology, Meteorology Data Analysis focuses on interpreting weather data to produce forecasts and reports. Both roles often collaborate but serve different core functions in meteorological work.

What cities are hiring for Meteorology Computer Science jobs? Cities with the most Meteorology Computer Science job openings:
What states have the most Meteorology Computer Science jobs? States with the most job openings for Meteorology Computer Science jobs include:
What job categories do people searching Meteorology Computer Science jobs look for? The top searched job categories for Meteorology Computer Science jobs are:
Meteorology Computer Science jobs near you
Infographic showing various Meteorology Computer Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $96,278 per year, or $46.3 per hour.

Research Associate, Atmospheric Science, Machine Learning

DeVine Consulting, Inc.

Silver Spring, MD • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 hours ago

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 Associate, 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
  • 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
  • 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

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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