Climate Risk ML Scientist: Scalable Global Models

MSCI Inc; New York (NY); On-site; USD 102,000 - 133,000; Full time

Benefits offered by this job

Annual bonus

Flexible work arrangements

Learning platforms access

Diversity and inclusion programs

Job summary

MSCI Inc. is seeking a climate risk scientist to architect ML solutions for global climate risk assessments. You will collaborate with climate scientists and data engineers to design scalable modeling pipelines and validate models in a changing climate.

You will train PyTorch/JAX models on large scales, apply COG/GeoParquet formats, and leverage AI tools like Claude Code. The role offers flexible work arrangements and a strong learning culture at MSCI.

Qualifications

• Ph.D. in Meteorology, Atmospheric Sciences, Oceanography, Hydrology, Physics, Geography, Engineering, Climate, Mathematics, or similar.
• 2+ years of experience in roles developing products to meet client requirements.
• Programming experience in Python, R, C/C++, and/or Fortran.
• Experience with cloud optimized geospatial formats such as Cloud Optimized GeoTIFF (COG), GeoParquet.
• Knowledge of CMIP outputs and its Shared Socioeconomic Pathways.
• Practical experience using AI tools for production scientific code and pipelines.

Responsibilities

• Architect and implement machine learning solutions for climate risk assessments.
• Produce robust, reproducible models which will stand up to validation studies in a changing climate.
• Follow team standards for machine learning applications to create physical risk models.
• Keep up with the latest developments in machine learning, extreme weather, and climate and bring those developments to improve our models and risk assessments.
• Train machine learning models written in PyTorch or JAX, then extend them for large scale inference on global scales.
• Use dashboards such as mlflow, Weights and Biases, etc. to track and communicate model performance and results.
• Be familiar with the latest foundation models such as Aurora, and the latest prediction models such as FourCastNet 3.

Skills

Python

R

C/C++

Fortran

Machine learning

Education

Ph.D. in Meteorology/Atmospheric Sciences etc.

Tools

Cloud Optimized GeoTIFF (COG)

GeoParquet

Aurora foundation models

FourCastNet 3

Claude Code / Codex

Job description

MSCI Inc. is seeking a climate risk scientist to architect ML solutions for global climate risk assessments. You will collaborate with climate scientists and data engineers to design scalable modeling pipelines and validate models in a changing climate.

You will train PyTorch/JAX models on large scales, apply COG/GeoParquet formats, and leverage AI tools like Claude Code. The role offers flexible work arrangements and a strong learning culture at MSCI.