KBR, Inc.

Graduate Student Intern – Data Science, Remote Sensing

KBR, Inc.

internship

Posted on:

Location Type: Office

Location: Sioux Falls • South Dakota • United States

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Entry Level

Tech Stack

PythonPyTorchRemote SensingTensorflow

About the role

  • Develop and implement deep learning models for remote sensing applications
  • Designing custom Convolutional Neural Networks (CNNs) for domain adaptation
  • 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
  • Understand converting raw digital numbers (DN) to Top-of-Atmosphere (TOA) reflectance and at-sensor radiance

Requirements

  • Must have 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
  • Candidates should have completed coursework in: Artificial Intelligence: Deep Learning, Computer Vision, Physics-Informed Neural Networks, Optimization Methods, Multispectral and Hyperspectral Remote Sensing, Geospatial data formats and tools (e.g., GDAL), Linear Algebra, Multivariable Calculus, Electromagnetic Theory, Python or C++ for scientific computing.
  • 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
  • professional training and development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
deep learningConvolutional Neural Networkscustom loss functionsautomatic differentiationPythonC++linear algebramultivariable calculusoptimization techniquesgeospatial data analysis
Soft Skills
collaborationindependencemultidisciplinary teamwork
Certifications
Artificial Intelligence: Deep LearningComputer VisionPhysics-Informed Neural NetworksOptimization MethodsMultispectral and Hyperspectral Remote Sensing