Senior Climate Machine Learning Scientist

• Build physical climate risk models using state-of-the-art methodologies including AI numerical weather prediction applied to climate applications; stochastic ensembles; earth observing foundation models; as well as traditional physics-based models.

• Collaborate with our climate scientists, hydrologists, fire scientists, data scientists, and data engineers to translate business requirements into scientific solutions.

• Partner with data, cloud, and security teams to design scalable and maintainable scientific modeling pipelines.

• Support a culture of scientific rigor and excellence in model design, including conducting validation studies to guide continuous improvement of those models.

• 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 Four Cast Net  3.

• Ph.D. in Meteorology, Atmospheric Sciences, Oceanography, Hydrology, Physics, Geography, Engineering, Climate, Mathematics, or similar subjects.

• 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), Geo Parquet, and related standards.

• Knowledge of the Coupled Model Intercomparison Project (CMIP) outputs and its shared socioeconomic pathways.

• Practical experience using AI tools (i.e. Claude Code, Codex) for writing production scientific code and pipelines.

What we offer you

• Salary range: $102,000 - $133,000 / year.
  
  Plus eligible for annual bonus.

• Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.

• Flexible working arrangements, advanced technology, and collaborative work spaces.

• A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.

• A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.

• Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , Linked In Learning Pro and tailored learning opportunities for ongoing skills development.

• Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.

• We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for…