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Atmosphere Models Jobs in California (NOW HIRING)

Long Wall

Flight Analyst

Long Beach, CA · On-site

$105K - $170K/yr

You will build and maintain simulation models, generate propulsion, aerodynamic, and atmospheric models, run Monte Carlo analyses, and translate results into actionable recommendations for GNC, Test ...

Long Wall

Flight Analyst

Long Beach, CA

$105K - $170K/yr

You will build and maintain simulation models, generate propulsion, aerodynamic, and atmospheric models, run Monte Carlo analyses, and translate results into actionable recommendations for GNC, Test ...

Long Wall

Flight Analyst

Long Beach, CA · On-site

$105K - $170K/yr

You will build and maintain simulation models, generate propulsion, aerodynamic, and atmospheric models, run Monte Carlo analyses, and translate results into actionable recommendations for GNC, Test ...

W3Global Inc.

Revit Modeler

Perris, CA

$20 - $35/hr

Revit Modeler Work Location: In person Remote: No The right candidate will: * Be a team player ... A positive and cooperative working atmosphere * Profit sharing * Paid vacation and sick leave

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Atmosphere Models information

See California salary details

$10.9K

$104.1K

How much do atmosphere models jobs pay per year?

As of Aug 7, 2026, the average yearly pay for atmosphere models in California is $95,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $103,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the atmosphere models position, and why are they important?

To thrive as an Atmosphere Modeler, you need a strong background in atmospheric sciences, meteorology, or a related field, typically complemented by experience in numerical modeling and data analysis. Proficiency with tools such as MATLAB, Python, Fortran, and specialized atmospheric modeling software like WRF or HYSPLIT, along with relevant certifications, is often required. Critical thinking, attention to detail, and strong communication skills are important for interpreting results and collaborating with multidisciplinary teams. These competencies are crucial for generating accurate atmospheric predictions and contributing to research or policy decisions.

How to become an atmosphere model?

To become an atmosphere model, candidates typically need a bachelor's degree in atmospheric science, meteorology, or a related field. Gaining experience with climate and weather modeling software, such as WRF or GFS, and developing strong analytical and programming skills in languages like Python or Fortran are important. Advanced roles may require a master's or Ph.D. and familiarity with data analysis and simulation techniques.

What is an atmosphere model?

An Atmosphere Models job involves developing, testing, and improving computational models that simulate atmospheric processes like weather patterns, climate change, and air quality. Professionals in this field use mathematical equations and data analysis to predict atmospheric behavior and support research in meteorology, environmental science, and aviation. They often work with government agencies, research institutions, or private companies to enhance forecasting accuracy and understand climate dynamics. Strong skills in programming, physics, and data modeling are essential for success in this role.

What does a typical workday look like for an atmosphere modeler, and with whom do they usually collaborate?

As an Atmosphere Modeler, your workday typically involves developing, running, and analyzing computer simulations that predict atmospheric conditions, as well as processing large sets of environmental data. You will frequently collaborate with meteorologists, climate scientists, software engineers, and sometimes government or industry stakeholders to refine models and interpret results. Much of your work is computer-based, but you may also participate in meetings to discuss findings or plan research initiatives. This collaborative and analytical environment offers variety and intellectual challenge, while also providing opportunities for professional growth as you contribute to impactful environmental projects.

What are the most commonly searched types of Atmosphere Models jobs in California? The most popular types of Atmosphere Models jobs in California are:
What are popular job titles related to Atmosphere Models jobs in California? For Atmosphere Models jobs in California, the most frequently searched job titles are:
What job categories do people searching Atmosphere Models jobs in California look for? The top searched job categories for Atmosphere Models jobs in California are:
What cities in California are hiring for Atmosphere Models jobs? Cities in California with the most Atmosphere Models job openings:
Atmosphere Models jobs near you
Infographic showing various Atmosphere Models job openings in California as of August 2026, with employment types broken down into 45% Full Time, and 55% Part Time. Highlights an 100% In-person job distribution, with an average salary of $95,894 per year, or $46.1 per hour.

Senior AI/ML Scientist, Planetary Science

Relativity Space

Long Beach, CA • On-site

$99K - $136K/yr

Full-time

Re-posted 17 days ago

Relativity Space rating

9.7

Company rating: 9.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 72 rated aerospace companies

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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