Research Scientist – AI Climate & Sustainability, IBM Research

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

Your Role and Responsibilities
IBM Research’s AI Climate & Sustainability team is seeking a full-time Research Scientist to join our cutting-edge team. We are looking for candidates who are passionate about leveraging foundation models to tackle pressing climate and sustainability challenges. Key responsibilities include contributing to the development of large transformer- and graph-based models across multiple modalities such as geospatial time series images and text advancing AI through new algorithms and methodologies conducting innovative research and building elegant research prototypes.

Required Technical and Professional Expertise

• At least three years experience using AI and Machine Learning techniques applied to spatial and/or temporal problems
• At least two years experience working on distributed systems
• Working expertise of best practices in software engineering with proficiency in Python.

Preferred Technical and Professional Expertise

• PhD in Computer Science Weather/Climate/Geospatial Science Mathematics Statistics Physics or a related field
• PyTorch or TensorFlow/JAX for training very large models
• Deep expertise in vision or graph models
• Familiar with Openshift and Kubernetes