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Rainmaker Fellow, Machine Learning

Rainmaker· R&D
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El Segundo, CAFull-timePosted 2mo ago

About the role

The Rainmaker Machine Learning Fellowship is a paid, full-time research appointment for exceptional early-career researchers to work on scoped ML projects within Rainmaker's R&D team, using real sensor and operational data to develop baselines, models, and durable research artifacts.

Responsibilities

  • 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.

Qualifications

  • 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.

Skills

Required:Python programmingMachine learning

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
Last updated Oct 23, 2026. Interested? Apply on the company site.
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Rainmaker uses drone-based cloud seeding to increase rainfall, restore ecosystems, and fight drought. Learn how our scalable weather technology brings water to the West.

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