KBR Careers · 2 days ago
Graduate Student Intern – Data Science & Remote Sensing
United States
Internship
Remote
InternKBR is a company that delivers science, technology, and engineering solutions to support critical missions. They are seeking a Graduate Student Intern to contribute to projects at the intersection of satellite remote sensing and AI-driven analytics, focusing on developing deep learning models for remote sensing applications.
Information Technology & Services
No H1B
Security Clearance RequiredU.S. Citizen Only
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
Must have Three years of continuous residency in the US
Proficiency in PyTorch or TensorFlow
Experience with CNN design, optimization methods, and domain adaptation
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
Candidates should have completed coursework in Artificial Intelligence: Deep Learning, Computer Vision, Physics-Informed Neural Networks, Optimization Methods
Candidates should have completed coursework in Remote Sensing: Multispectral and Hyperspectral Remote Sensing
Candidates should have completed coursework in Geospatial Science: Geospatial data formats and tools (e.g., GDAL)
Candidates should have completed coursework in Mathematics/Physics: Linear Algebra, Multivariable Calculus, Electromagnetic Theory
Candidates should have completed coursework in Computer Science: Python or C++ for scientific computing
Three years of continuous residency in the US for issuance of a Government Security credential
The candidate must be able to obtain and maintain a national agency check and background investigation after hiring to obtain a badge for government facility access and user account
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
KBR Careers
At KBR, we deliver science, technology and engineering solutions that are helping governments and companies around the world take on the great challenges of our time.
Founded in 1919
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Becky Sewell
Chief Training Officer (CTO)
Dana Dorsey
Sr. VP, Chief Financial Officer
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