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Atmospheric Scientists Jobs (NOW HIRING)

Leidos

Imagery Scientist (SAR)

Springfield, VA · On-site

$116K - $210K/yr

Leidos has an exciting opportunity for an Expert Level Exploitation Specialist/Imagery Scientist (SAR) - to join our team in Springfield, VA. Our ideal candidate will be able to : * Conduct applied ...

Leidos

Imagery Scientist (SAR)

Springfield, VA

$116K - $210K/yr

Leidos has an exciting opportunity for an Expert Level Exploitation Specialist/Imagery Scientist (SAR) - to join our team in Springfield, VA. Our ideal candidate will be able to : * Conduct applied ...

Leidos

Imagery Scientist (SAR)

Springfield, VA · On-site

$116K - $210K/yr

Leidos has an exciting opportunity for an Expert Level Exploitation Specialist/Imagery Scientist (SAR) - to join our team in Springfield, VA. Our ideal candidate will be able to : * Conduct applied ...

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Atmospheric Scientists information

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$44K

$81.5K

$151K

How much do atmospheric scientists jobs pay per year?

As of Aug 14, 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.

Do atmospheric scientists make good money?

Atmospheric scientists typically earn a median annual salary around $100,000, with salaries varying based on experience, education, and location. They often work for government agencies, research institutions, or private companies, and advanced degrees or specialized skills can lead to higher compensation.

What jobs can you get with an atmospheric scientists degree?

Atmospheric scientists can work in weather forecasting, climate research, environmental consulting, and air quality analysis. They often use tools like computer models and satellite data and may need certifications such as the Certified Consulting Meteorologist credential. These roles typically involve working in research institutions, government agencies, or private companies focused on environmental and atmospheric issues.

Who hires atmospheric scientists?

Atmospheric scientists are typically employed by government agencies such as the National Weather Service, environmental consulting firms, research institutions, and universities. They may work in laboratories, field sites, or offices, often requiring knowledge of data analysis, computer modeling, and weather forecasting tools.

What do you do as an atmospheric scientist?

An atmospheric scientist studies the Earth's atmosphere to understand weather patterns, climate change, and atmospheric phenomena. They analyze data using tools like computer models and sensors, often working in research, government, or environmental organizations to improve weather forecasting and environmental policies.
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Cities with the most Atmospheric Scientists job openings:

What states have the most Atmospheric Scientists jobs?

States with the most job openings for Atmospheric Scientists jobs include:

What job categories do people searching Atmospheric Scientists jobs look for?

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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 1% Internship, 92% Full Time, 4% Part Time, and 3% 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.

Rainmaker Fellow, Machine Learning

Rainmaker Technology Corporation

El Segundo, CA • On-site, Remote

Full-time

Medical, Dental, Vision

Posted 22 days ago

Job description

About Rainmaker

Rainmaker is pioneering a modern cloud-seeding system to increase precipitation, improve water availability, and address severe-weather challenges. We combine atmospheric science, weather-resistant UAS, radar and satellite observations, numerical weather prediction, novel sensing systems, and sustainable seeding technologies to design, operate, and evaluate precipitation-enhancement programs.

Rainmaker collects unusual atmospheric datasets because we build sensors, operate aircraft, fly into clouds, and deliberately intervene in atmospheric systems. Our long-term advantage depends on turning those observations into better estimates, forecasts, and operational decisions.

About the Fellowship

The Rainmaker Machine Learning Fellowship is a paid, full-time research appointment for exceptional undergraduate and graduate students, postdoctoral researchers, recent graduates, and other early-career researchers.

As a fellow, you will join Rainmaker's R&D team and work alongside our researchers on a scoped machine-learning project drawn from Rainmaker's current research priorities and defined in close collaboration with your research lead or mentor. Project matching will consider available data, mentor capacity, team needs, and your background. You will take responsibility for a concrete workstream while contributing to the broader team's research, reviews, and technical decisions.

You will work with real sensor and operational data, establish credible baselines, build and evaluate models, and leave behind a durable dataset, system, or research artifact that Rainmaker can continue using. Fellows are not expected to arrive with an independent research agenda or define a project in isolation.

Examples of the Work

Fellowship projects change with Rainmaker's research and operational priorities. Examples of the work our ML team may pursue include:

  • Developing a short-range supercooled liquid water opportunity forecast using public NWP and Rainmaker observations.
  • Predicting hail-core growth, motion, splitting, and decay from radar sequences.
  • Building a bounded multimodal atmospheric-state reconstruction pilot.
  • Improving microwave-sounder retrievals using Rainmaker observations.
  • Modeling another scientific or operational problem selected with Rainmaker's ML and atmospheric-science teams.
What You'll Do
  • Translate a scientific or operational question into a measurable ML problem.
  • Build or improve the training and validation dataset needed for the project.
  • Establish simple, reproducible baselines before introducing more complex models.
  • Train, evaluate, and debug models using held-out weather events, regions, or operating conditions.
  • Quantify calibration, uncertainty, generalization, failure modes, and sensitivity to missing or biased data.
  • Work closely with atmospheric scientists to define useful targets, ground truth, physical constraints, and operational success criteria.
  • Produce clear, reusable code and documentation.
  • Present your results to Rainmaker's scientists, engineers, operators, and technical leadership.
  • Deliver a final artifact such as a benchmark dataset, model, prototype product, evaluation report, or research paper.
What We're Looking For
  • Current undergraduate, master's, or PhD students; postdoctoral researchers; recent graduates; and other early-career researchers are all eligible.
  • Strong Python programming ability and experience with a modern ML framework.
  • Evidence that you can independently build, test, and debug technical work.
  • Strong quantitative reasoning and an ability to design credible experiments.
  • Interest in noisy, sparse, multimodal, spatial, temporal, or physical data.
  • Ability to make progress on ambiguous research problems while incorporating mentor feedback.
  • Clear written and verbal communication.
  • Availability for full-time, on-site work in El Segundo for the agreed appointment.
Particularly Relevant Backgrounds
  • Machine learning, computer science, applied mathematics, statistics, physics, meteorology, remote sensing, robotics, autonomy, geospatial analysis, or scientific computing.
  • Forecasting, sequence modeling, computer vision, state estimation, sensor fusion, probabilistic modeling, data assimilation, or uncertainty quantification.
  • Weather knowledge is valuable but not required.
What Success Looks Like

By the end of the fellowship, you will have answered a clearly defined technical question and produced a rigorous, reusable result that advances the team's work. Depending on the project, that might be a benchmark dataset, evaluated model, prototype product, forecasting or retrieval improvement, or a well-supported analysis of performance and failure modes.

Success does not require a positive scientific result. A well-supported finding that the available data cannot answer the question-and a concrete recommendation for what Rainmaker should measure next-can be highly valuable.

Fellowship Details
  • Paid, full-time, and on-site in El Segundo.
  • Three-to-six-month appointment, with four months as the standard duration.
  • Rolling applications and flexible start dates based on project and mentor readiness.
  • Possible consideration for future full-time roles, without any promise or expectation of conversion.
Compensation and Benefits

$8,000 per month

Benefits:

  • Full health coverage (medical, dental, and vision insurance)
  • Lunch provided when working in-office and a fully stocked kitchenette
  • Free EV charging at the HQ
$8,000 - $8,000 a month
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