Energy Job Search · 8 hours ago
Graduate Student Intern - Data Science & Remote Sensing
KBR is a company that delivers science, technology, and engineering solutions to help customers accomplish critical missions. They are seeking a highly motivated graduate student intern to contribute to projects at the intersection of satellite remote sensing and AI-driven analytics, focusing on advanced machine learning techniques for geospatial applications.
Staffing & Recruiting
Responsibilities
Develop and implement deep learning models for remote sensing applications, with emphasis on:
Designing custom Convolutional Neural Networks (CNNs) for domain adaptation (e.g., transferring Landsat standards to UAS imagery)
Writing custom loss functions and leveraging automatic differentiation in frameworks like PyTorch or TensorFlow
Work with geospatial datasets and apply preprocessing techniques for radiometric calibration
Collaborate with domain experts to integrate physics-based constraints into AI models
Understands converting raw digital numbers (DN) to Top-of-Atmosphere (TOA) reflectance and at-sensor radiance
Qualification
Required
Three years of continuous residency in the US
Proficiency in PyTorch or TensorFlow
Strong coding skills in Python (and optionally C++) for scientific computing
Familiarity with BRDF concepts, multispectral/hyperspectral data, and geospatial formats (e.g., GDAL)
Solid understanding of linear algebra, multivariable calculus, and optimization techniques
Preferred
Prior experience with geospatial data analysis or remote sensing projects
Ability to work independently and collaborate effectively in a multidisciplinary team
Benefits
401K plan with company match
Medical
Dental
Vision
Life insurance
AD&D
Flexible spending account
Disability
Paid time off
Flexible work schedule
Company
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Funding
Current Stage
Growth StageCompany data provided by crunchbase