Machine Learning Scientist - 134774

Full-time

La Jolla, CA

Educational Services

About the position

This is a two (2) year 100% Contract position. This appointment may be extended or converted to career status based on the needs and funding of the department. The scientist will apply their background and expertise in computational science to develop, support, and execute projects of broad scope and complexity that addresses CW3E's objectives. A particular emphasis will be on the development and application of artificial intelligence (AI) data driven models for weather/climate modeling and prediction, and on developing insights for model interpretability. Develops novel post-processing methods for quantitative precipitation forecasting as well as forecasting other relevant variables, e.g., temperature, integrated water vapor transport for the benefit of water management. Leads and contributes to proposals, reports and peer-reviewed scientific journal publications as needed, may give technical presentations to associated research and technology groups and management, and represent the organization at national and international meetings, conferences, and committees. Contributes to ongoing efforts on the strategic growth of computing platforms and resources and improvement of data management procedures.

Responsibilities

• Develop and apply AI data driven models for weather/climate modeling and prediction.
• Develop novel post-processing methods for quantitative precipitation forecasting.
• Lead and contribute to proposals, reports, and peer-reviewed publications.
• Give 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.

Requirements

• Bachelor's degree in related area and/or equivalent experience; Master's degree or PhD in meteorology, atmospheric sciences, climate science or related field preferred.
• Experience in implementing machine learning methods in weather/climate research.
• Thorough skills in statistical analysis and systems programming.
• Strong experience in scientific programming, working in a Unix environment, and with scripting languages such as Python, R, or Matlab.
• Experience using common machine learning software (Tensorflow, Keras, PyTorch, Scikit-Learn) on cloud computing environments (AWS, Azure).
• Thorough skills in analysis and consultation.
• Knowledge of operational forecasting models and products from NOAA and ECMWF.
• Skills to communicate complex information clearly both verbally and in writing.
• Thorough knowledge of research function and in-depth experience as an independent researcher.
• Skills in project management and strong time management skills.

Nice-to-haves

• Experience in handling numerical weather prediction model simulations.
• Skills in scientific writing for peer-reviewed journal publications.
• Experience presenting at scientific conferences (oral and poster presentations).
• Research skills to evaluate alternate solutions and develop recommendations.
• Excellent interpersonal skills including thoughtfulness, diplomacy, and flexibility.

Benefits

• Annual Full Pay Range: $85,400 - $156,800 (will be prorated if the appointment percentage is less than 100%)
• Hourly Equivalent: $40.90 - $75.10