Job Description

Role

Senior Machine Learning Scientist specializing in climate and hydrology, focusing on developing and leading hydrology-aware climate modeling within Flagship's environmental platform.

Responsibilities

• Steer scientific research and ML development at the intersection of hydrology, climate science, and AI.
• Define research priorities, model evaluation strategies, and contribute to next-generation environmental prediction systems.
• Work with large climate datasets, build reproducible workflows, and translate scientific insights into scalable models.

Requirements

• PhD in Earth science, climate science, hydrology, AI, or related field.
• 5+ years postdoctoral or industry experience in climate ML, weather modeling, or Earth system modeling.
• Strong publication record.
• Expertise with large climate datasets, Python, PyTorch, and cloud infrastructure (preferably AWS).
• Knowledge of scientific ML, data assimilation, and hybrid physics-ML approaches.

Preferred

• Experience leading cross-disciplinary efforts, mentoring, and working across research and engineering teams.

High-Value

• Focus on climate, weather, and hydrology modeling.
• Development of ML-based prediction systems.
• Work in advanced computational environments.
• Based in Cambridge, MA or Boulder, CO with some travel.

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