Rainmaker Fellow, Machine Learning

make-rain· Science
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📍 El Segundo, CAFull time💰 USD 8K–8K

About this role

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.

Frequently Asked Questions

What is the salary for the Rainmaker Fellow, Machine Learning role at make-rain?
The listed salary for this Rainmaker Fellow, Machine Learning position at make-rain is USD 8K–8K. This is an Full time role.
Where is the Rainmaker Fellow, Machine Learning position at make-rain located?
This Rainmaker Fellow, Machine Learning role at make-rain is based in El Segundo, CA. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Rainmaker Fellow, Machine Learning role at make-rain full-time or part-time?
This is listed as a Full time position. It is posted as a Rainmaker Fellow, Machine Learning role in the Science department at make-rain.
Which team or department does the Rainmaker Fellow, Machine Learning at make-rain belong to?
This Rainmaker Fellow, Machine Learning position is part of the Science department at make-rain. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Rainmaker Fellow, Machine Learning position at make-rain?
Click the "Apply Now" button on this page. You will be redirected to make-rain's official application portal hosted on lever where you can submit your application directly.
When was the Rainmaker Fellow, Machine Learning job at make-rain posted?
This Rainmaker Fellow, Machine Learning position at make-rain was posted on Jul 24, 2026. Apply as soon as possible — early applications are often reviewed first.
Rainmaker Fellow, Machine Learning
make-rain · 💰 USD 8K–8K
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