Rainmaker Fellow, Satellite Remote Sensing

Rainmaker Technology Corporation; El Segundo (CA); On-site; USD 81,244 - 97,315; Full time

Benefits offered by this job

Full health coverage

Lunch provided in-office

EV charging at HQ

Job summary

Rainmaker Technology Corporation is offering a paid, full-time Satellite Remote Sensing Fellowship in El Segundo. You will join the satellite remote-sensing group and take ownership of a concrete computational workstream while contributing to retrieval, validation, automation, and operational-support tasks.

Ideal candidates are early-career researchers or recent graduates with strong Python skills and a background in atmospheric remote sensing, satellite meteorology, or related fields.

Qualifications

• Strong quantitative and programming ability, preferably in Python.
• Experience with atmospheric remote sensing, satellite meteorology, physics, or related fields.
• Interest in microwave sounders and retrieval methods.

Responsibilities

• Acquire, process, collocate, and quality-control microwave, polar-orbiting, and geostationary satellite observations.
• Reproduce an existing retrieval or operational baseline before testing improvements.
• Validate satellite products against radar, NWP, soundings, and Rainmaker measurements.
• Quantify detection skill, bias, uncertainty, and representativeness by meteorological regime.
• Implement retrieval improvements justified by project and data.
• Build reproducible workflows for Rainmaker scientists to run and extend.
• Present findings to satellite scientists, meteorologists, and leadership.
• Deliver a final artifact such as a dataset or retrieval benchmark.

Skills

Python

Quantitative skills

Satellite remote sensing

Education

Undergraduate student

Master's student

PhD student

Recent graduate

Tools

Git

NumPy

Pandas

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.

Satellite observations provide the coverage Rainmaker needs to understand clouds across large regions, while our radar, aircraft, UAS, and in-situ sensors provide unusually valuable observations for validation and improvement.

About the Fellowship

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

You will join Rainmaker's satellite remote-sensing group and work alongside our researchers on a scoped project drawn from the team'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 computational workstream while contributing to ongoing retrieval, validation, automation, and operational-support work across the team.

Examples of the Work

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

• Benchmarking and improving microwave-sounder retrievals using Rainmaker in-cloud measurements, radar, geostationary imagery, and model fields.
• Fusing intermittent polar-orbiting observations with frequent geostationary imagery to track cloud properties between overpasses.
• Automating an existing manual satellite-analysis workflow used by Rainmaker scientists or operators.
• Validating cloud-phase, cloud-top, precipitation, moisture, temperature, or related satellite products against Rainmaker observations.
• Developing a bounded retrieval or satellite data product for research or operational use.

What You'll Do

• Acquire, process, collocate, and quality-control microwave, polar-orbiting, and geostationary satellite observations.
• Reproduce an existing retrieval or operational baseline before testing improvements.
• Validate satellite products against radar, NWP, soundings, surface observations, and Rainmaker aircraft, UAS, or in-situ measurements.
• Quantify detection skill, bias, uncertainty, spatial representativeness, latency, coverage, and failure modes by meteorological regime.
• Implement physically motivated, statistical, or ML retrieval improvements when justified by the project and data.
• Build documented, reproducible workflows that other Rainmaker scientists can run and extend.
• Present findings to satellite scientists, radar scientists, meteorologists, operators, and technical leadership.
• Deliver a final artifact such as a collocation dataset, retrieval benchmark, automated data product, error analysis, fusion prototype, 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 quantitative and programming ability, preferably in Python.
• Experience with atmospheric remote sensing, satellite meteorology, physics, applied mathematics, electrical engineering, computer science, or a related field.
• Interest in microwave sounders, polar-orbiting observations, geostationary imagery, retrieval methods, or scientific data products.
• Ability to implement a scientific method, establish a baseline, and validate the result carefully.
• Comfort working with large, imperfect, multidimensional observational datasets.
• High agency and the ability to take responsibility for a bounded workstream while collaborating with experienced researchers.
• Clear written and verbal communication.
• Availability for full-time, on-site work in El Segundo for the agreed appointment.

Particularly Relevant Experience

By the end of the fellowship, you will have answered a clearly defined scientific or operational question and delivered a trusted computational result the satellite remote-sensing team can continue using. Depending on the project, that might be a quality-controlled validation dataset, retrieval benchmark or improvement, error analysis, fusion prototype, automated data product, or operational workflow.

Success does not require a positive result. A rigorous conclusion about what the available observations can and cannot support can be as valuable as an improved retrieval.

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 project-specific start dates.
• Attached directly to Rainmaker's satellite-science group with a named mentor.
• Consideration for future full-time roles
• Publication may be supported when it does not compromise Rainmaker intellectual property or operational know-how.

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