Note: The job is a remote job and is open to candidates in USA. Lynker is a growing, employee-owned business specializing in professional, scientific and technical services. They are seeking an AI and Data Assimilation Scientist to develop and transition innovative AI-based Data Assimilation systems, which will enhance traditional workflows and improve meteorological forecasts.
Responsibilities
- Conduct a comprehensive review of state-of-the-art AI-based data assimilation and end-to-end weather forecasting methodologies, systems, and frameworks. Communicate findings with EMC scientists and external partners to inform the development of a scientifically robust and efficient AI-RTMA approach
- Collaborate with NOAA’s NBM team and key stakeholders to define product requirements for AI-RTMA, including domain configuration, grid structure, output variables, spatial and temporal resolution, and data formats suitable for operational evaluation and transition
- Design, implement, and maintain robust data pipelines to support AI-RTMA training, validation, testing, and evaluation. This includes collecting, formatting, quality-controlling, and integrating diverse observational datasets (e.g., conventional observations, satellite, radar, and other sources), as well as preparing model inputs, targets, metadata, and training/validation splits
- Develop, train, rigorously test, and deploy a fully functional AI-RTMA system based on selected AI frameworks or architectures
- Implement cross-validation and other evaluation methodologies to quantify model performance and reliability during inference
Skills
- Experience developing, training and deploying AI-based systems applied to geophysical systems
- Experience with common AI frameworks such as PyTorch, TensorFlow
- Experience working with earth observation data, including conventional observations, satellite, radar
- In-depth knowledge of data assimilation techniques (observation forward modeling, quality control, variational-based and/or ensemble methods)
- Strong foundation in the physical, statistical and mathematical basis of geophysical modeling (atmospheric and/or environmental)
- Excellent Python programming skills
- Practical experience utilizing High Performance Computers (HPCs) and GPUs
- Proven experience working in a UNIX environment with advanced scripting languages
- Good communication skills, both oral and written, in English
- Experience with cloud platforms and use of IDEs for development
- Experience with cloud-native data formats such as Zarr, Parquet
- Experience with compiled languages
- Comfort using agentic AI tools to accelerate development
- Experience executing numerical models on HPC platforms using parallelization frameworks and job scheduling systems
- Familiarity with coupled earth system models
- Knowledge of modern software engineering practices (requirements gathering, design, prototyping, version control, integration, testing, and documentation)
- Prior experience in model testing, evaluation, or knowledge of verification principles
Benefits
- Comprehensive healthcare for the employee at no monthly cost
- Healthcare benefit covers medical, prescription drug, dental, and vision
- Personal Time Off (PTO) Policy plus paid holidays
- Highly competitive compensation plan regularly calibrated against industry and location benchmarks
- 401(k) retirement plan with company-matching
- Employee Stock Ownership Plan (ESOP) – we're all company owners!
- Flexible spending accounts
- Employee assistance program (EAP)
- Short- and long-term disability insurance
- Life and accident insurance
- Tuition assistance/Training/Workforce improvement reimbursement per year
- Spot bonuses for exceptional performance
- Annual Employee Recognition Awards with bonuses
- Employee Referral Program
- Free centralized, self-directed Learning Management System to learn at your own pace
- Personalized career growth plans for every employee
Company Overview