Ai Weather Scientist

Pravah

San Francisco, California, United States
Not specified; not specified; not specified
On-site
Numerical weather prediction models
Deep learning frameworks pytorch jax tensorflow
High-dimensional observational datasets
The role involves advancing next-generation weather forecasting systems by integrating numerical models with modern machine learning architectures

Job Summary

  • The role involves advancing next-generation weather forecasting systems by integrating numerical models with modern machine learning architectures.
  • You will tailor predictions for critical sectors including energy grid stress, agricultural outlooks, and extreme weather resilience.
  • This position offers ownership of deployed models at the frontier of the AI-weather revolution within a deeply technical founding team.

Matching Summary

The role involves advancing next-generation weather forecasting systems by integrating numerical models with modern machine learning architectures.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Numerical weather prediction models
  • Deep learning frameworks PyTorch JAX TensorFlow
  • High-dimensional observational datasets
  • Physics-informed machine learning approaches

Nice-to-have

  • WRF or MPAS regional earth-system models
  • Generative AI and diffusion models experience
  • Data assimilation and ensemble forecasting
  • Publications in atmospheric or ML conferences

Key Requirements

  • Master's or PhD in geophysical sciences or related field
  • 7+ years research or operational experience with bachelor's degree
  • Demonstrated depth in numerical weather prediction or meteorology

Work Rights

Not specified

Tailored Resume

Cover Letter