CPAESS Scientist III (AI/ML)

Location: College Park, Maryland; in-person, hybrid with approximately 3 days onsite and 2 days remote, or fully remote. All work must be performed within the United States, excluding U.S. Territories.

Hiring range: $85,780–$111,490 per year.

Company

hirify.global supports the Earth system science community through scientific staffing, research programs, scientific partnerships, and education and outreach.

What you will do

• Design and execute scientific investigations and analyses using established and emerging methods for research, operational, and applied science questions.
• Apply model calibration, bias correction, AI/ML, and ensemble post-processing to GEFS, NMME, and other global forecasts for precipitation and temperature at week 2–4, monthly, and seasonal timescales.
• Verify forecasts statistically and use multivariate and spectral analysis of observations and model outputs to study subseasonal predictability and extreme events.
• Develop and adapt scientific tools, models, workflows, products, and technologies for data processing, analysis, system evaluation, and experimental work.
• Lead or contribute to projects and small teams, coordinate deliverables, provide technical direction, and collaborate across disciplines and institutions.
• Author publications, technical documentation, datasets, reports, proposals, training materials, and presentations; mentor less experienced staff and students and engage with stakeholders.

Requirements

• Bachelor of Science degree and 8 years of related experience, or a Master’s degree and 4 years of related experience, or a PhD in a scientific discipline, or an equivalent combination of education and experience.
• Solid knowledge in a relevant scientific field and ability to apply theories, methods, and frameworks to complex or interdisciplinary problems.
• Familiarity with project planning and proposal development, including technical scoping, program alignment, and deliverable management.
• Ability to develop or refine scientific tools, workflows, or models, including quality assurance and integration with broader projects.
• Experience using data analysis tools for data preparation, visualization, or workflow automation.
• Ability to mentor less experienced colleagues, independently design and execute analyses, adapt methods, collaborate in multidisciplinary teams, and communicate scientific information clearly.
• Professional bilingual proficiency in written and verbal English and French for technical communication with clients and stakeholders.

Nice to have

• Strong knowledge of the global climate system, with regional expertise in the Caribbean, Latin America, or Africa at subseasonal-to-seasonal timescales.
• Experience engaging stakeholders in agriculture, water resource management, or food security in developing-world contexts.
• Familiarity with operational forecast workflows, model output processing, forecast verification, and communicating uncertainty to end users.
• Experience developing and delivering S2S forecasting training for meteorologists, scientists, and stakeholders in agriculture, water resource management, and health.
• Experience authoring technical and scientific reports for early warning system projects.
• Experience with GIS tools for mapping extreme event forecasts and co-developing impact forecasts with stakeholders.

Culture & Benefits

• Health, dental, vision, disability, retirement, leave, tuition assistance, and employee assistance programs.
• hirify.global contributes 10% of base salary to the retirement plan.
• At least 20 days of annual PTO, 10 paid holidays, 12 weeks of paid parental leave, and FAMLI Leave.
• Public Service Loan Forgiveness eligible employer.
• Federal screening and a standard background check are required before the confirmed start date.
• All roles require compliance with U.S. export control regulations and work location requirements.