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Rainmaker Fellow, Machine Learning

rainmakerEl Segundo, CAR&D
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Salary
Not listed
Job type
Full-time
Experience
Entry
Posted
5 Oct 2026
Status
Open · checked 7d ago

About this role

Rainmaker Fellow, Machine Learning is a full-time research appointment based in El Segundo, California, designed for undergraduate, graduate, postdoctoral, and early-career researchers. This opportunity suits individuals seeking to apply machine learning to atmospheric science and real-world weather systems.

Role Overview

The Rainmaker Fellow, Machine Learning is a paid, full-time research appointment located in El Segundo, CA. Fellows join the R&D team to work on a scoped machine learning project aligned with current research priorities. The appointment lasts between three and six months, with four months as the standard duration.

Key Responsibilities

Translate scientific or operational questions into measurable machine learning problems.
Build or improve training and validation datasets for specific projects.
Establish simple, reproducible baselines prior to introducing 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.
Collaborate with atmospheric scientists to define useful targets, ground truth, physical constraints, and success criteria.
Produce clear, reusable code and documentation.
Present results to scientists, engineers, operators, and technical leadership.
Deliver a final artifact such as a benchmark dataset, model, prototype product, evaluation report, or research paper.

Requirements

Current undergraduate, master's, or PhD student, postdoctoral researcher, recent graduate, or early-career researcher.
Strong Python programming ability and experience with a modern machine learning framework.
Evidence of independent technical building, testing, and debugging.
Strong quantitative reasoning and the 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 duration of the appointment.

Skills and Tools

Python
Machine learning frameworks
Radar and satellite observation analysis
Numerical weather prediction data
State estimation and sensor fusion

Salary and Benefits

Monthly compensation of $8,000.
Full health coverage including medical, dental, and vision insurance for employees and families.
401(k) with employer matching.
Unlimited paid time off and a generous paid holiday schedule.
Paid parental leave.
Daily lunch provided at the office and a fully stocked kitchenette.
Free electric vehicle charging at headquarters.
Relocation assistance for eligible roles.

About the Company

Rainmaker builds and deploys technologies that work with nature to increase precipitation, improve water availability, and address severe weather challenges. The company combines atmospheric science, weather-resistant unmanned aircraft systems, radar and satellite observations, numerical weather prediction, novel sensing systems, and sustainable seeding technologies.

How to Apply

Candidates should apply on the official company careers page.

Skills and tech stack

PythonComputer VisionMachine Learning

Questions candidates ask

What is the duration of the Rainmaker Machine Learning Fellowship?

The appointment lasts between three and six months, with four months serving as the standard duration.

Where is the fellowship located?

The position is full-time and requires on-site work in El Segundo, California.

Who is eligible to apply for this fellowship?

Current undergraduate, master's, or PhD students, postdoctoral researchers, recent graduates, and other early-career researchers are all eligible.

Is weather knowledge required for applicants?

Weather knowledge is valuable but not required.

What is the monthly compensation for the role?

The position pays $8,000 per month.

Ready to apply?

The application is on the official rainmaker careers page.

Apply on company site