Machine Learning Scientist

$85,400 - $156,800/Yr

University of California - San Diego, CA

Full-time - Mid Level

San Diego, CA

Educational Services

About the position

The Machine Learning Scientist position at UC San Diego is a contract role within the Center for Western Weather and Water Extremes (CW3E). This center is dedicated to advancing research and applications related to extreme weather and climate events in the Western United States. The successful candidate will leverage their expertise in computational science to develop, support, and execute complex projects that align with CW3E's objectives. A significant focus will be on creating and applying artificial intelligence (AI)-enabled data-driven models for weather and climate modeling and prediction, with an emphasis on enhancing model interpretability. The role involves developing innovative model architectures, including graph neural networks, transformers, and diffusion models, specifically for weather forecasting. The scientist will also contribute to the creation of decision support tools intended for use by the applications community. Responsibilities include leading and contributing to research proposals, reports, and peer-reviewed publications, as well as delivering technical presentations to various stakeholders. The position also entails representing the organization at national and international conferences and meetings, thereby enhancing CW3E's visibility in the scientific community. Additionally, the scientist will play a crucial role in the strategic growth of computing platforms and resources, as well as improving data management practices within the center. This position is integral to CW3E's mission of fostering a diverse and inclusive environment, as the center actively seeks to include perspectives from historically underrepresented communities in its research and outreach efforts.

Responsibilities

• Develop and apply AI-enabled data-driven models for weather and climate modeling and prediction.
• Create novel model architectures such as graph neural networks, transformers, and diffusion models for weather forecasting.
• Support the development of decision support tools for the applications community.
• Lead and contribute to research proposals, reports, and peer-reviewed publications.
• Deliver technical presentations to research and technology groups and management.
• Represent the organization at national and international meetings and conferences.
• Contribute to the strategic growth of computing platforms and resources.
• Improve data management procedures within the center.

Requirements

• Bachelor's degree in a related area and/or equivalent experience/training.
• Master's degree or PhD in meteorology, atmospheric sciences, computer science, or a related field preferred.
• Experience developing and implementing AI and machine learning methods in weather/climate research.
• Proficiency in analyzing dynamical model outputs and publishing research results.
• Strong skills in statistical analysis and systems programming.
• Experience in scientific programming, particularly in a Unix environment, and with scripting languages such as Python, Matlab, or R.
• Familiarity with common machine learning software such as PyTorch, TensorFlow, Keras, and Scikit-Learn.
• Knowledge of operational forecasting models and products from NOAA and ECMWF.
• Ability to communicate complex information clearly and concisely, both verbally and in writing.
• Experience in scientific writing for peer-reviewed publications and presenting at scientific conferences.

Nice-to-haves

• Familiarity with water management and weather-related hazards in the Western US.
• Strong interpersonal skills, including diplomacy and flexibility.
• Ability to work independently or as part of a team.

Benefits

• Competitive salary range of $85,400 - $97,000 per year.
• Possibility of extension or conversion to career status based on departmental needs.
• Opportunities for professional development and research collaboration.