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5 дней назад

Applied Geospatial ML Engineer (AI)

185 000 - 228 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
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): Developing and integrating advanced machine learning models for geospatial intelligence (GEOINT) applications with an accent on multi-INT data processing, computer vision, and signal analysis. Focus on architecting end-to-end analytical workflows, implementing hardware-based solutions, and solving complex mission-critical challenges for government clients.

Location: Must be based in Herndon, VA (Onsite)

Salary: $185,000 - $228,000

Company

hirify.global is a spatial intelligence company focused on building innovative solutions for complex mission-critical challenges.

What you will do

  • Design, implement, and evaluate machine learning solutions using multi-INT data with an emphasis on GEOINT.
  • Architect and develop novel AI/ML models for semantic activity detection, geospatial analytics, and computer vision.
  • Engineer and transform diverse data types to support the full AI/ML workflow.
  • Integrate AI/ML solutions across both hardware and software stacks.
  • Provide subject matter expertise and strategic advice to government clients and internal teams.
  • Communicate progress, risks, and technical results to project leadership and partners.

Requirements

  • Must be a U.S. Citizen.
  • Must hold an active TS/SCI security clearance.
  • B.S. in Data Science, Engineering, Math, Physics, Computer Science, or related field.
  • 5+ years of experience designing, developing, and deploying AI/ML models.
  • 2+ years of experience with low-shot learning, robust ML, spatial trajectory analytics, and cloud platforms (AWS/Azure).
  • Experience with remote sensing, geospatial datasets (EO/SAR), and Linux environments.

Nice to have

  • Advanced degree (M.S. or Ph.D.) in a technical field.
  • Proficiency with Python data science stack (numpy, pandas, sklearn) and geospatial libraries (gdal, geopandas).
  • Experience designing compute hardware and infrastructure solutions for AI/ML applications.

Culture & Benefits

  • Competitive total rewards package including 401(k) with company match.
  • Mental health resources and support.
  • Unique perks including student loan repayment assistance and adoption reimbursement.
  • Pet insurance.
  • Inclusive workplace committed to equal opportunity.

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