Scientific Machine Learning Modeller

Number of employees

85

El Segundo, CA, United States

Posted on: 2025-02-06

Category: sustainability

Ready to make this your next chapter?

Let Rainmaker know you found them on WorkInGreen. It helps more companies post climate jobs here.

Expired

Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Rainmaker provides water for farms, watersheds, and ecosystems, fortifying growth and stewarding the natural world. We are Making Earth Habitable.

We are seeking a highly motivated and skilled Scientific Machine Learning Specialist to lead the development and implementation of advanced machine learning models aimed at validating the efficacy of precipitation enhancement operations. The successful candidate will work at the intersection of atmospheric science, data analytics, and artificial intelligence to address challenges in weather prediction and precipitation enhancement.

No recruiting agencies

What You'll Do

  • Design, train, and validate machine learning models to analyze meteorological and observational data related to precipitation enhancement.

  • Develop algorithms to detect and quantify the impact of precipitation enhancement on precipitation patterns and amounts using large-scale atmospheric datasets.

  • Work with large-scale atmospheric datasets, including satellite, radar, and reanalysis data.

  • Collaborate with atmospheric scientists, physicists, and AI researchers to integrate domain knowledge into machine learning frameworks.

  • Develop scalable software solutions for cloud-resolving and weather prediction models.
  • Qualifications

  • Masters or PhD in atmospheric science, meteorology, physics, applied mathematics, computer science, or related discipline.
  •  
  • Strong background in machine learning (deep learning, neural networks, etc.) and numerical methods for the predication of weather.

  • Experience with physics-informed neural networks (PINNs) or hybrid AI-physics modeling.

  • Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).

  • Knowledge of fluid dynamics, thermodynamics, cloud microphysics, and precipitation processes
  • Not quite the right fit? Keep looking.

    More climate roles that match your skills and values.

    View all jobs
    Rainmaker logo
    United States
    Rainmaker logo
    United States
    EcoVadis logo
    United States
    EcoVadis logo
    Poland
    Number of employees

    1850

    EcoVadis logo
    Canada

    57 Sustainability jobs at Rainmaker

    Rainmaker is hiring Radar Intern,AR / AP Specialist,Mechanical Engineering Intern, and more.

    View all jobs at Rainmaker