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2 дня назад

Applied Geospatial ML Engineer (AI)

185 000 - 228 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
c2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Applied Geospatial ML Engineer (AI/ML): Developing and deploying machine learning solutions for geospatial intelligence (GEOINT) with an accent on semantic activity detection, computer vision, and signal processing. Focus on building end-to-end analytical workflows from data acquisition to hardware-based implementation for government mission challenges.

Location: Herndon, VA. Must be a U.S. Citizen with an active TS/SCI security clearance.

Salary: $185,000 - $228,000

Company

hirify.global is a spatial intelligence company helping decision makers and operators navigate current events and shape future outcomes through advanced geospatial tools.

What you will do

  • Design, implement, and evaluate AI/ML solutions using multi-INT data, with a primary emphasis on GEOINT.
  • Architect and integrate novel models for semantic activity detection, geospatial analytics, and computer vision.
  • Engineer diverse data types and develop pipelines across various hardware and software stacks.
  • Provide subject matter expertise and strategic advice on AI/ML trends to government clients and internal teams.
  • Manage sprint projections and integrate diverse data science skillsets to support program execution.

Requirements

  • U.S. Citizenship and active TS/SCI security clearance (ability to obtain CI polygraph is required).
  • B.S. in Data Science, Engineering, Math, Physics, Computer Science, or a related field.
  • 5+ years of experience designing, developing, and deploying AI/ML models across diverse data types.
  • 2+ years of experience with low-shot learning, spatial trajectory analytics, and cloud platforms such as AWS or Azure.
  • Experience working with remote sensing and geospatial datasets, including EO/SAR imagery.
  • Competence with Linux environments and modern development practices including CI/CD.

Nice to have

  • Advanced degree (M.S. or Ph.D.) in a relevant technical field.
  • Proficiency with the Python data science stack (numpy, pandas, sklearn) and geospatial libraries (gdal, geopandas, shapely).
  • Experience designing geospatial trajectory processing, forecasting, and visualization approaches.
  • Ability to design compute hardware and infrastructure solutions for AI/ML applications.

Culture & Benefits

  • Competitive total rewards package including a robust 401(k) with company match.
  • Student loan repayment assistance.
  • Mental health resources.
  • Unique perks including adoption reimbursement and pet insurance.

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