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Deep Learning R&D Software Engineer

Expedition Technology

Salary not specified
Aug 21, 2025
Herndon, VA, US
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Expedition Technology (EXP) is seeking a Deep Learning R&D Software Engineer to develop novel solutions for the Intelligence Community, addressing challenging real-world problems in national security with a focus on Geospatial Object Detection and adversarial attacks on overhead detection models.

Requirements

  • Proven proficiency in PyTorch, TensorFlow, or other modern machine learning framework
  • Solid theoretical understanding of deep neural networks as well as their applications, particularly in computer vision and object detection
  • Proven experience architecting, training, testing, and deploying machine learning solutions within an AWS environment
  • Experience using collaborative source code management tools (Git)
  • Strong software development skills to include object-oriented design and implementation in languages like Python
  • Strong practical experience developing in both object oriented and procedural languages
  • Experience with the full software development lifecycle, CI/CD, agile/scrum methodologies

Responsibilities

  • Develop ML orchestration pipelines for novel Geospatial Object Detection problems
  • Apply Sim-to-Real ML dataset techniques
  • Design and implement custom algorithms and evaluation metrics
  • Produce technical reports
  • Develop robust deep learning models against different types of ML-driven adversarial attacks
  • Develop novel methods and algorithms, applicable to electro-optical (EO) imagery, for the detection, explanation, and mitigation of a wide range adversarial attacks on overhead detection models that operate in close to real-time
  • Researching academic literature to keep abreast of the latest theories, techniques, and tools

Other

  • US Citizenship – must have an ACTIVE Top Secret / SCI Clearance
  • An active Top Secret/SCI security clearance
  • MS and 3+ years of experience or BS and 5+ years of experience in a technical field such as Computer Science, Electrical Engineering, Physics, Statistics, or Applied Mathematics
  • Strong technical presentation and writing skills
  • Participate in team brainstorming sessions to shape innovative solutions