Machine Learning Engineer

About the role

Lynker is seeking a talented and experienced Machine Learning Engineer to support the Environmental Modeling Center (EMC) within the National Centers for Environmental Prediction (NCEP).

Responsibilities

• Duties of the Machine Learning Engineer will include the following:
• Perform their job duties to a high standard, working both independently and collaboratively.
• The core responsibility is to assist in the development, implementation, testing, and evaluation of an AI-based Real-Time Mesoscale Analysis (AI-RTMA) system in support of NOAA’s National Blend of Models (NBM).
• The AI-RTMA system will generate high spatial and temporal resolution analyses of meteorological variables to reduce biases in the NBM fields.
• This system will directly contribute to improved forecast quality.
• The successful Machine Learning Engineer will work on the following scientific and engineering tasks:
• 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.

Qualifications

• The Machine Learning Engineer selected should have the following:
• 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.
• 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.

About Lynker

Lynker is a growing, employee-owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost-effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement. We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities – creatively and effectively.

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.

Contact

Lynker is an E-Verify employer. Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.