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# Probabilistic Hazard Information (PHI) and AI/ML Research Specialist (Subject Matter Expert II)

- **Company:** FedWriters, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $102,000.0 - $108,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cyber Security, Corona (Software Development Kit), Desktop Computing, Formal Verification, Python (Programming Language), Machine Learning, Software Tools, Software Engineering, Software Organization, Uncertainty Quantification (UQ), Salesforce Lightning, Model Validation, Information Technology
- **Published:** October 18, 2026
- **Apply:** https://www.careerbuilder.com/job-details/probabilistic-hazard-information-phi-and-ai-ml-research-specialist-subject-matter-expert-ii--c9560eab-5603-4417-8190-edcf86651f21

## About the Role

Required:

 * BS Degree (Advanced Degree Preferred) in meteorology, atmospheric science, computer science, data science, engineering, or a related field
 * * 8+ years of professional or academic experience (5 years of AI Experience preferred)

Desired:

 * Experience conducting research involving severe convective storms, hazardous weather forecasting, or probabilistic prediction systems
 * Knowledge of ensemble forecasting systems, including Warn-on-Forecast (WoFS) or similar convection-allowing ensemble prediction systems
 * Experience applying artificial intelligence and/or machine learning techniques to meteorological, environmental, or geospatial datasets
 * Demonstrated experience leading a project team or providing limited supervision on a technical research effort
 * Proficiency in scientific programming and software development using Python and related data analysis and visualization tools
 * Experience working with large observational and model datasets, including radar, satellite, lightning, and environmental observations
 * Familiarity with forecast verification methodologies, uncertainty quantification, and model evaluation techniques
 * Experience utilizing high-performance computing (HPC) resources and modern software development practices
 * Ability to communicate complex scientific concepts through presentations, technical reports, and peer-reviewed publications
 * Experience collaborating with operational users, stakeholders, or forecasters in the development and evaluation of decision-support tools

## Description

OverviewRapidly updating, probabilistic severe weather guidance is only as good as the science and technology behind it. As FWI''s PHI and AI/ML Research Specialist supporting NSSL, you will apply expert, highly specialized knowledge to advance Probabilistic Hazard Information (PHI) systems by integrating Warn-on-Forecast (WoFS) ensemble guidance, meteorological observations, and machine learning techniques into next-generation short-term hazard prediction tools. Your work will bridge research and operations - from designing AI/ML methodologies to leading Hazardous Weather Testbed (HWT) engagement with real NWS forecasters - to make severe weather guidance faster, smarter, and easier to act on, while providing technical guidance and limited supervision to project team members.Work Schedule and Location:Remote: This full-time remote position will work Monday through Friday, 8 AM CST to 5 PM CST.ResponsibilitiesApply expert, specialized knowledge to advance PHI research and development activities that improve rapidly updating probabilistic forecasts of severe weather hazardsDesign, develop, and evaluate AI/ML methodologies that enhance the generation, interpretation, and communication of probabilistic hazard forecastsLead development and implementation of tools that integrate WoFS ensemble output with PHI systems and workflows, providing technical guidance to team membersDevelop methods to merge WoFS forecasts with meteorological observations (radar, satellite, lightning, environmental datasets) to create enhanced short-term forecast guidance productsConduct data analysis, visualization, verification, and explainability studies to evaluate forecast performance and improve user understanding of AI-assisted forecast guidanceDirect development of software tools, workflows, and visualization products to support research, testing, and operational transition activitiesLead planning, facilitation, and analysis of user engagement activities conducted through the Hazardous Weather Testbed (HWT) and related evaluation programsAnalyze feedback from forecasters and other stakeholders to guide future development and refinement of PHI and WoFS-based productsCollaborate with scientists, developers, forecasters, and external partners to advance next-generation severe weather forecasting capabilitiesPrepare technical documentation, software repositories, evaluation reports, and project deliverables supporting research and operational objectivesContribute to quarterly and annual project reportsLead or contribute to peer-reviewed publications and present research findings at scientific conferences, workshops, and stakeholder meetingsQualificationsRequired:BS Degree (Advanced Degree Preferred) in meteorology, atmospheric science, computer science, data science, engineering, or a related field* 8+ years of professional or academic experience (5 years of AI Experience preferred)Desired:Experience conducting research involving severe convective storms, hazardous weather forecasting, or probabilistic prediction systemsKnowledge of ensemble forecasting systems, including Warn-on-Forecast (WoFS) or similar convection-allowing ensemble prediction systemsExperience applying artificial intelligence and/or machine learning techniques to meteorological, environmental, or geospatial datasetsDemonstrated experience leading a project team or providing limited supervision on a technical research effortProficiency in scientific programming and software development using Python and related data analysis and visualization toolsExperience working with large observational and model datasets, including radar, satellite, lightning, and environmental observationsFamiliarity with forecast verification methodologies, uncertainty quantification, and model evaluation techniquesExperience utilizing high-performance computing (HPC) resources and modern software development practicesAbility to communicate complex scientific concepts through presentations, technical reports, and peer-reviewed publicationsExperience collaborating with operational users, stakeholders, or forecasters in the development and evaluation of decision-support toolsWork Setting and Environment:Primary location: RemoteNormal work hours are Monday through Friday, 8 hours per day / 40 hours per week, excluding federal holidays; field data-collection activities may require irregular hours during active severe weather eventsLocal and non-local travel may be required, not anticipated to exceed 5% annually; all unplanned travel must be approved in writing by the COR at least 10 calendar days in advanceMust complete an online IT security awareness course within one week of starting workForeign national candidates are subject to export control review and require CO/COR approval prior to considerationGovernment-furnished equipment provided, including access to HPC resources, specialized mobile observation platforms, laboratory test equipment, computers, and office workspace, as applicableFWI is an Equal Opportunity Employer, including disability/vets.Why Join Our TeamAt FWI, we place the highest importance on creating an exceptional employee experience. You''ll have opportunities to achieve your career aspirations through internal promotions, professional development, and other recognition and rewards programs. Join our team and take advantage of the many benefits we offer, including:Health InsuranceDental InsuranceVision InsuranceLong-term and Short-term Disability InsuranceLife Insurance401(k) PlanHoliday PayPaid Time OffPay Range$102,000.00 to $108,000.00