Applied Geospatial ML Engineer (AI)
Мэтч & Сопровод
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Описание вакансии
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
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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