---
title: 'Rainmaker Fellow, Machine Learning at Rainmaker Technology Corporation'
canonical: 'https://feeny.ai/job/rainmaker-fellow-machine-learning-rainmaker-technology-corporation-el-segundo-rsarya3e7tvn'
type: 'job'
last_seen: '2026-09-07'
---

# Rainmaker Fellow, Machine Learning at Rainmaker Technology Corporation

- **Company:** Rainmaker Technology Corporation
- **Location:** El Segundo, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-24
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/make-rain/12553367-54eb-4fb8-8268-d52b3f05d86b

## 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

## About Rainmaker Technology Corporation

## Company Overview
- **One-liner**: Rainmaker Technology Corporation uses drone-based cloud seeding to increase precipitation, restore ecosystems, and fight drought.
- **Entity Type**: Public (NASDAQ: RNK) – also described as privately held in some sources; likely a recent public listing with small revenue and high growth.
- **Headquarters**: El Segundo, California, United States
- **Founded**: 2023
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Climate Technology Product Manufacturing / Weather Modification
- **Target customers**: Governments, water districts, agricultural operators, and environmental restoration organizations (B2G/B2B)
- **Mission or purpose**: “Make rain. Make snow. Make Earth habitable.” – ending water scarcity with next-generation cloud seeding.

## Products & Services
- **[Next-Generation Cloud Seeding System]**: Integrated system of advanced radar, unmanned aircraft (drones), and a cutting-edge weather awareness platform. Used to deliver moderate, predictable increases in precipitation. Aimed at restoring ecosystems, recharging aquifers, and reducing wildfire risk.

## Market Standing
- **Valuation/Market Cap**: Not disclosed; total funding of $31.3M (LinkedIn) or $73.9M (CB Insights) – conflicting reports. Last funding round: Series B of $41M (CB Insights) or Series A of $25M led by Lowercarbon Capital (LinkedIn).
- **Key Metric**: Annual Revenue $7.3M (LinkedIn); Total Funding $31.3M (LinkedIn) / $73.9M (CB Insights)
- **Notable Investors/Partners**: Lowercarbon Capital, Starship Ventures, UP Partners, 1517 Fund, Long Journey Ventures, Garry Tan, and 18+ others (CB Insights).
- **Growth Signals**: 78 employees (+117.4% YoY); 15,285 LinkedIn followers (+148.5% YoY); active job postings: 35 (+337.5% YoY); first U.S. commercial cloud-seeding operation with measured proof of generated precipitation (19 million gallons in 3 hours with 2 drones, August 2026).

## Competitive Advantages
- **Scientific Rigor**: Embedded research organization (Rainmaker Fellows) dedicated to validating results and transparency.
- **First-Mover Proof**: Demonstrated measurable, unambiguous precipitation increase in a commercial operation (USA Today coverage).
- **Integrated Technology**: Combines radar, drones, and weather platform – a modern, proprietary system vs. legacy cloud seeding methods.
- **Location**: Based in El Segundo, CA, part of a deep-tech ecosystem with strong engineering talent.

## Strategic Focus
- **Scale operations**: Expanding into new geographies (Australia, Southern Europe, DACH, India, Middle East); hiring directors of business development for multiple regions.
- **Research & Development**: Launched Rainmaker Fellowship (3-month program) to advance atmospheric science and weather modification.
- **Regulatory & Public Trust**: Committed to transparency and public education about cloud seeding capabilities and limitations.

## Why Work Here
- **Culture**: Described as “an engineering organization and a microcosm of El Segundo's spirit” – iterate quickly, solve the most important problem of our age.
- **Work Environment**: On-site roles in El Segundo, CA, with seasonal field positions across the western U.S. (Utah, Nevada, etc.).
- **Growth**: Rapidly scaling headcount (117% YoY), high-visibility work with real-world environmental impact.
- **Perks**: Opportunity to work on “physical technology” in a deep-tech renaissance; hands-on with drones, radar, and weather systems.
- **Values**: Stewardship of the natural world, scientific rigor, and making freshwater available to all.

## Sources
1. [rainmaker.com](https://www.rainmaker.com/)
2. [jobs.lever.co/make-rain](https://jobs.lever.co/make-rain)
3. [linkedin.com](https://linkedin.com/company/rainmaker-technology-corporation)
4. [cbinsights.com](https://www.cbinsights.com/company/rainmaker-4)

## Other roles at Rainmaker Technology Corporation

- [Electrical Engineer](https://feeny.ai/job/electrical-engineer-rainmaker-technology-corporation-el-segundo-7stdfxrqvfaq) — El Segundo, CA
- [Mechanical Engineer](https://feeny.ai/job/mechanical-engineer-rainmaker-technology-corporation-el-segundo-nsq16bvdmr0e) — El Segundo, CA
- [Lead, Mechanical Engineering](https://feeny.ai/job/lead-mechanical-engineering-rainmaker-technology-corporation-el-segundo-0xzkcvjb7565) — El Segundo, CA
- [Facilities Manager](https://feeny.ai/job/facilities-manager-rainmaker-technology-corporation-el-segundo-7keaa88d612p) — El Segundo, CA
- [Software Engineer, Infrastructure](https://feeny.ai/job/software-engineer-infrastructure-rainmaker-technology-corporation-el-segundo-699tc29deccj) — El Segundo, CA
- [Senior Manufacturing Engineer](https://feeny.ai/job/senior-manufacturing-engineer-rainmaker-technology-corporation-salt-lake-city-4rg4b6tqjxz1) — Salt Lake City, UT
- [Director of Business Development - Utah](https://feeny.ai/job/director-of-business-development-utah-rainmaker-technology-corporation-salt-p8ywbp2dt5s5) — Salt Lake City, UT
- [Business Operations Associate](https://feeny.ai/job/business-operations-associate-rainmaker-technology-corporation-el-segundo-khe9paee4n6h) — El Segundo, CA
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- [Rainmaker Fellow, Satellite Remote Sensing](https://feeny.ai/job/rainmaker-fellow-satellite-remote-sensing-rainmaker-technology-corporation-el-wg9tq9sgpsee) — El Segundo, CA