9 дней назад
Applied Computer Vision Engineer (TS/SCI)
185 000 - 228 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied Computer Vision Engineer (TS/SCI) (GEOINT/AI): Building and deploying computer vision pipelines and AI/ML applications for commercial and government geospatial intelligence data with an accent on imagery processing, deep learning models, synthetic data, and geospatial data engineering. Focus on designing experiments, integrating inference and data-store components, evaluating pipeline performance, and applying generative AI to mission-critical customer problems.
Location: Herndon, Virginia, United States. The role requires U.S. citizenship, an active U.S. Government TS/SCI security clearance, and occasional travel to government sites.
Base pay: $185,000–$228,000 per year, depending on experience, qualifications, geographic work location, and market conditions.
Company
develops spatial intelligence solutions that help decision makers and operators understand current conditions and plan for future events.
What you will do
- Experiment with novel computer vision models using commercial and government GEOINT data.
- Design, develop, and deploy components for computer vision pipelines, including image preprocessing, inference engines, and data stores.
- Explore synthetic data and generative AI applications for GEOINT workflows.
- Transform and engineer varied data types to support AI/ML workflow stages.
- Track advances in computer vision from industry and academia and apply them to customer mission problems.
- Brief internal teams on delivery progress, evaluation results, and project challenges.
Requirements
- U.S. citizenship and an active TS/SCI clearance are required; willingness to obtain a CI polygraph is expected.
- Bachelor’s degree in data science, engineering, mathematics, physics, computer science, image science, or a related field.
- 5+ years of experience developing, testing, and deploying computer vision models.
- Experience with deep learning algorithms for computer vision, the Python data science stack, Python geospatial libraries, containerization platforms, and Linux.
- Ability to work with a geographically distributed team and travel occasionally to government sites.
- Strong technical communication, organizational, and attention-to-detail skills.
Nice to have
- Advanced degree in a relevant technical or image science field.
- Experience with image generation models, Hugging Face, and synthetic training data generation.
- Experience with AWS, Azure, SageMaker, IBM Watson Studio, or similar cloud AI/ML platforms.
- Experience with remote sensing, GEOINT datasets, and government collection platforms.
Culture & Benefits
- Work on mission-critical spatial intelligence and real-world customer problems.
- 401(k) plan with company match.
- Mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.
- Inclusive workplace with equal employment opportunity.
Hiring process
- Submit an application through ’s careers page.
- Employment is contingent on verification of the required security clearance.
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