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Atmospheric Modeling Jobs (NOW HIRING)

Clark Creative Solutions

CCS is in search of a Senior Linux Software Developer/System Administrator to fill a System Architects role for PFPA's atmospheric modeling system. The system provides hazard prediction for the ...

Clark Creative Solutions

CCS is in search of a Senior Linux Software Developer/System Administrator to fill a System Architects role for PFPA's atmospheric modeling system. The system provides hazard prediction for the ...

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Atmospheric Modeling information

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$29K

$93.6K

$183K

How much do atmospheric modeling jobs pay per year?

As of Jul 11, 2026, the average yearly pay for atmospheric modeling in the United States is $93,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $119,000.00 per year, depending on experience, location, and employer.

What is the difference between Atmospheric Modeling vs Meteorologist?

AspectAtmospheric ModelingMeteorologist
Required CredentialsDegree in atmospheric sciences, meteorology, or related field; often requires programming skillsDegree in meteorology, atmospheric sciences, or related; may include certification or licensing
Work EnvironmentResearch labs, government agencies, or academic institutions; focus on simulations and data analysisWeather stations, media, government agencies; focus on weather forecasting and communication
Industry UsageUsed for climate modeling, weather prediction, and environmental researchUsed for daily weather forecasts, severe weather alerts, and public information

While both roles involve understanding atmospheric phenomena, atmospheric modeling focuses on creating simulations and predictive models using computer algorithms, whereas meteorologists interpret weather data to provide forecasts and public advisories. Both careers require a strong background in atmospheric sciences, but their daily tasks and work environments differ significantly.

What is atmospheric modelling?

Atmospheric modeling is the process used by atmospheric modelers to simulate and analyze the Earth's atmosphere using computer models. It involves applying physics, chemistry, and meteorological data to predict weather patterns, climate changes, and air quality, often utilizing specialized software and data analysis skills. Atmospheric modelers typically work with large datasets and may require knowledge of programming languages like Fortran or Python.

How much do atmosphere models get paid?

Atmospheric modelers typically earn between $60,000 and $110,000 annually, depending on experience, education, and location. Entry-level positions may start around $50,000, while senior roles or those requiring specialized skills can pay over $120,000. Salaries often increase with proficiency in modeling tools and relevant certifications.

Does atmospheric science pay well?

Atmospheric modeling is a specialized field within atmospheric science, and professionals in this area often earn competitive salaries, especially with advanced degrees and experience. Salaries can vary based on location, employer, and level of expertise, with opportunities in government agencies, research institutions, and private companies typically offering higher compensation for skilled analysts familiar with modeling tools and data analysis.

What is an atmosphere model job?

An atmospheric modeling job involves developing and running computer simulations to analyze and predict atmospheric phenomena such as weather, climate, and air quality. These roles typically require skills in programming, data analysis, and knowledge of atmospheric science, often using tools like climate models and modeling software. Professionals in this field may work for research institutions, government agencies, or environmental organizations.

What are the main challenges atmospheric modelers face when integrating new data sources into existing models?

Atmospheric modelers often encounter challenges when incorporating new data sources, such as ensuring data quality, consistency, and compatibility with existing model frameworks. Integrating data from various sensors or satellites may require preprocessing to address differences in resolution, timing, or measurement techniques. Additionally, updating models with new data can impact computational efficiency and require recalibration or validation to maintain accuracy. Close collaboration with data scientists and other researchers is common to streamline this process and ensure robust model performance.

What are the key skills and qualifications needed to thrive as an Atmospheric Modeler, and why are they important?

To thrive as an Atmospheric Modeler, you need a strong background in atmospheric science, mathematics, and computer programming, often supported by an advanced degree in meteorology or a related field. Familiarity with programming languages like Python or Fortran, experience using atmospheric modeling software (such as WRF or GCMs), and proficiency in data analysis tools are typically required. Critical thinking, problem-solving, and effective communication are important soft skills for interpreting model results and collaborating with multidisciplinary teams. These competencies are crucial for producing accurate forecasts, advancing scientific understanding, and informing policy or operational decisions based on atmospheric data.

What is atmospheric modeling?

Atmospheric modeling is the use of computer-based mathematical models to simulate and predict the behavior of the Earth's atmosphere. These models help scientists understand weather patterns, climate change, air pollution, and other atmospheric phenomena. Atmospheric modeling is essential for making weather forecasts, studying long-term climate trends, and assessing environmental impacts. The field combines physics, chemistry, and data analysis to create simulations that can be used by researchers, meteorologists, and policymakers.
More about Atmospheric Modeling jobs
What cities are hiring for Atmospheric Modeling jobs? Cities with the most Atmospheric Modeling job openings:
What are the most commonly searched types of Atmospheric Modeling jobs? The most popular types of Atmospheric Modeling jobs are:
What states have the most Atmospheric Modeling jobs? States with the most job openings for Atmospheric Modeling jobs include:
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Atmospheric Modeling jobs near you
Infographic showing various Atmospheric Modeling job openings in the United States as of July 2026, with employment types broken down into 79% Full Time, 19% Part Time, 1% Temporary, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $93,625 per year, or $45 per hour.
Senior AI/ML Scientist, Planetary Science

Senior AI/ML Scientist, Planetary Science

Relativity Space

Long Beach, CA • On-site

$99K - $136K/yr

Full-time

Posted 20 days ago

Job description

Job Summary:
Relativity Space is building rockets to serve today’s needs and tomorrow’s breakthroughs. They are seeking a Senior AI/ML Scientist to develop and deploy machine learning systems for their 2028 Mars orbital mission, focusing on enhancing atmospheric modeling and multi-modal data fusion.
Responsibilities:
• Develop and deploy machine learning systems that unlock new science from our 2028 Mars orbital mission.
• Enhance Mars atmospheric modeling and do weather forecasting.
• Develop and apply Machine Learning techniques to combine Earth-derived atmospheric datasets and known Martian atmospheric physics to create a weather forecasting model.
• Develop and build methods that reconstruct coherent 3D representations by integrating complementary datasets of 2D surface images, 3D surface models, geologic mapping of units, and radar depth soundings.
• Build systems that monitor observations, analyze them in real-time on the spacecraft and detect scientifically significant events based on known phenomenology of Mars as well as novelty detection.
• Develop the AI decision-making layer that closes the loop, autonomously re-tasking the spacecraft to acquire follow-up observations from onboard inference on flight hardware.
• Drive your own problem framing, build and evaluate systems end-to-end, and communicate results clearly to scientists and engineers alike.
Qualifications:
Required:
• PhD in machine learning, computer science, physics, or a related technical field, and 3+ years of relevant industry experience
• Demonstrated experience with transfer learning, domain adaptation or model fine-tuning, particularly in low-data or out-of-distribution settings
• Experience with applying machine learning in physical datasets
• Working knowledge of multi-modal data fusion
• Ability to own problems end-to-end: from dataset understanding through model development, evaluation, and deployment
• Excited to collaborate with a diverse group of scientists and engineers, and further planetary science
Company:
Relativity Space is an aerospace company that designs, develops, and builds 3D printed rockets. Founded in 2015, the company is headquartered in Long Beach, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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