Graduate Student Intern – Data Science & Remote Sensing

KBR, Inc. • Sioux Falls, SD

7d

About The Position

At KBR, we deliver science, technology, and engineering solutions that help our customers accomplish their most critical missions. Join us at the Earth Resources Observation and Science (EROS) Center and help shape the future of Earth science data systems. As part of our mission-driven team, you’ll contribute to projects that make a global impact, supporting research, innovation, and technology that empower scientists and decision-makers worldwide.

Overview: We are seeking a highly motivated graduate student with a strong background in data science and deep learning to contribute to projects at the intersection of satellite remote sensing and AI-driven analytics. The intern will collaborate with scientists at EROS who provide domain expertise in remote sensing physics, while the intern focuses on advanced machine learning techniques for geospatial applications.

Must have Three years of continuous residency in the US

Requirements

• Deep Learning & AI Architectures: Proficiency in PyTorch or TensorFlow. Experience with CNN design, optimization methods, and domain adaptation.
• Programming: Strong coding skills in Python (and optionally C++) for scientific computing.
• Remote Sensing Fundamentals: Familiarity with BRDF concepts, multispectral/hyperspectral data, and geospatial formats (e.g., GDAL).
• Mathematical Foundations: Solid understanding of linear algebra, multivariable calculus, and optimization techniques.
• 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.

Nice To Haves

• Prior experience with geospatial data analysis or remote sensing projects.
• Ability to work independently and collaborate effectively in a multidisciplinary team.

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.

Benefits

• KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule.
• We support career advancement through professional training and development.

What This Job Offers

• Career Level: Intern
• Number of Employees: 5,001-10,000 employees