AI Data Assimilation Scientist

This is a fully remote position, open to applicants in Maryland.

📋 Description

• The AI and Data Assimilation Scientist will execute their responsibilities to a high standard, working both autonomously and collaboratively, with a focus on scientific advancements that promote the use of AI-DA techniques as a viable alternative to traditional ensemble and variational methods.

• A primary duty is to spearhead the development, implementation, testing, and evaluation of an AI-based Real-Time Mesoscale Analysis (AI-RTMA) system to support NOAA’s National Blend of Models (NBM).

• The AI-RTMA system is designed to produce high spatial and temporal resolution analyses of meteorological variables to minimize biases in the NBM outputs.

• Share findings with EMC scientists and external partners to enhance the development of a scientifically sound and efficient AI-RTMA methodology.

• Work in collaboration with NOAA’s NBM team and key stakeholders to establish product requirements for AI-RTMA, which include domain configuration, grid structure, output variables, spatial and temporal resolution, and data formats appropriate for operational evaluation and transition.

• Design, implement, and sustain robust data pipelines to facilitate AI-RTMA training, validation, testing, and evaluation.

• Develop, train, rigorously test, and deploy a fully operational AI-RTMA system based on selected AI frameworks or architectures.

• Apply cross-validation and other evaluation methods to assess model performance and reliability during inference.

⛳️ Requirements

• Demonstrated experience in developing, training, and deploying AI-based systems relevant to geophysical applications.

• Familiarity with popular AI frameworks such as PyTorch and TensorFlow.

• Experience working with earth observation data, including conventional observations, satellite, and radar data.

• Comprehensive understanding of data assimilation techniques, including observation forward modeling, quality control, and variational or ensemble methods.

• Strong foundational knowledge of the physical, statistical, and mathematical principles of geophysical modeling, whether atmospheric or environmental.

• Proficient Python programming skills.

• Practical experience with High Performance Computers (HPCs) and GPUs.

• Proven capability in a UNIX environment, utilizing advanced scripting languages.

• Strong communication skills, both verbal and written, in English.

🏝️ Benefits

• Comprehensive healthcare for the employee at no monthly cost.

• Healthcare benefits encompass medical, prescription drug, dental, and vision coverage.

• Personal Time Off (PTO) Policy in addition to paid holidays.

• Highly competitive compensation plan regularly adjusted against industry and location benchmarks.

• 401(k) retirement plan with company matching.

• Employee Stock Ownership Plan (ESOP) – fostering a sense of ownership among all employees!

• Flexible spending accounts.

• Employee assistance program (EAP).

• Short- and long-term disability insurance.

• Life and accident insurance.

• Tuition assistance, training, and workforce improvement reimbursement each year.

• Spot bonuses awarded for outstanding performance.

• Annual Employee Recognition Awards accompanied by bonuses.

• Employee Referral Program.

• Access to a free centralized, self-directed Learning Management System for personal learning at one's own pace.

• Customized career growth plans tailored for every employee.