Machine Learning Fellow - Weather Forecasting & Data

Rainmaker Technology Corporation; El Segundo (CA); On-site; USD 78,120 - 100,440; Full time

Benefits offered by this job

Health coverage

Lunch provided

EV charging at HQ

Job summary

Rainmaker is seeking exceptional undergraduates, graduates, or early-career researchers for a paid ML Fellowship on-site in El Segundo. You will work with our R&D team on a scoped ML project, mentored closely, and contribute to a concrete workstream while aligning with the broader research efforts.

You will build and evaluate models, establish baselines, and collaborate with atmospheric scientists to define meaningful targets and success criteria.

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.
• Clear written and verbal communication and quantitative reasoning.

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.

Skills

Python programming

ML framework experience

Independent problem solving

Communication skills

Job description

Rainmaker is seeking exceptional undergraduates, graduates, or early-career researchers for a paid ML Fellowship on-site in El Segundo. You will work with our R&D team on a scoped ML project, mentored closely, and contribute to a concrete workstream while aligning with the broader research efforts.

You will build and evaluate models, establish baselines, and collaborate with atmospheric scientists to define meaningful targets and success criteria.