Machine Learning Scientist

Job Description Axiom is seeking a Machine Learning Scientist to support the Environmental Modeling Center (EMC) of the National Centers for Environmental Prediction (NCEP) in building the world's most advanced weather forecasting system through a data-driven approach, working within a multi-disciplinary team committed to open science and actively sharing results with the broader weather and climate communities. Responsibilities Collaborate with the EMC team to advance the state of the art in weather forecasting through a data-driven approach. Identify and prototype promising machine learning approaches from the broader research community. Conduct experiments, analyze results, and scale up approaches that demonstrate experimental success. Establish best practices and workflows for distributed training, ensuring efficient and scalable machine learning models. Work with other engineering teams to create efficient and maintainable data-loading pipelines for diverse data types. Promote engineering and research best practices through code reviews and by ensuring high-quality code standards. Requirements MS, or PhD in computer science, mathematics, applied statistics, machine learning, physical science, or equivalent industry experience. Hands‑on experience in applying experimental ideas to real-world problems. Deep understanding of machine learning and statistical methods. Experience with Python-based ML frameworks such as PyTorch or JAX. Competence in running, tracking, and analyzing experiments, with the ability to instrument them with meaningful metrics and visualizations. Strong problem-solving skills to troubleshoot and resolve issues in machine learning workflows. Flexibility to adapt and pivot across diverse projects as needed. Great to Have Expertise in developing and optimizing data loaders for various storage solutions. Experience with distributed, multi-node training for machine learning models. Proficiency with software environment management tools like Conda or Docker. Experience with ML architectures such as Graph Neural Networks (GNNs), transformers, and diffusion models. Experience with earth system models and data. Familiarity with the fundamentals of numerical weather prediction systems. Axiom offers competitive compensation packages including comprehensive medical/dental/life insurance and matching 401(k) contribution. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) #J-18808-Ljbffr 6AM City, LLC