Senior Climate Machine Learning Scientist
MSCI Inc · New York, NY, US
About this role
## Senior Climate Machine Learning Scientist ### Your Team Responsibilities - Build physical climate risk models using state-of-the-art methodologies, including: - AI numerical weather prediction for climate applications - Stochastic ensembles - Earth observing foundation models - Traditional physics-based models - Collaborate with 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 through validation studies that drive continuous improvement. ### Your Key Responsibilities - Architect and implement machine learning solutions for climate risk assessments. - Produce robust, reproducible models that hold up under validation in a changing climate. - Follow team standards to create physical risk models. - Stay current with advances in machine learning, extreme weather, and climate science, and apply them to improve models and risk assessments. - Train ML models in **PyTorch** or **JAX**, then extend them for large-scale inference on global scales. - Use tools such as **MLflow** and **Weights & Biases** to track and communicate model performance and results. - Be familiar with foundation models such as **Aurora**, and prediction models such as **FourCastNet 3**. ### Your Skills and Experience - **Ph.D.** in Meteorology, Atmospheric Sciences, Oceanography, Hydrology, Physics, Geography, Engineering, Climate, Mathematics, or a related field. - **2+ years** of experience 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**, and related standards. - Knowledge of **CMIP** outputs and shared socioeconomic pathways. - Practical experience using AI tools (e.g., **Claude Code**, **Codex**) to write production scientific code and pipelines. ### About MSCI — What We Offer - **Salary range:** $102,000 - $133,000 / year, plus eligible annual bonus. - Transparent compensation and comprehensive benefits tailored to your location. - Flexible working arrangements, advanced technology, and collaborative workspaces. - A high-performance, innovation-focused culture. - Global network of talented colleagues and learning opportunities (e.g., Learning@MSCI, AI Learning Center, LinkedIn Learning). - Multi-directional career paths and internal mobility. - Inclusion and belonging supported through Employee Resource Groups. *MSCI is an equal opportunity employer. Recruitment agencies: MSCI does not accept unsolicited CVs/resumes.*
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