Deep Learning Software Engineer — TS/SCI Clearance

Expedition Technology; Herndon (VA); On-site; USD 130,000 - 190,000; Full time

Job summary

Expedition Technology seeks a Deep Learning and Software Engineer to join a dynamic team delivering novel Intel Community solutions. You will design, train, evaluate, and productize DL models (YOLO, Faster R-CNN, Mask R-CNN) and deploy end-to-end systems in AWS, using PyTorch or TensorFlow.

Expect rigorous testing, collaboration, and hands-on development in a fast-paced, security-focused environment. The role emphasizes end-to-end pipeline development, data sourcing, model training, and

Qualifications

• Active security clearance required (Top Secret/SCI preferred).
• US Citizenship required.
• MS or BS in a technical field (CS, EE, Physics, etc.).
• Proven proficiency in PyTorch, TensorFlow, or similar frameworks.
• Strong understanding of deep neural networks and CV applications.
• Experience deploying ML solutions in AWS.
• Experience with Git and collaboration tools.
• Strong software development skills in Python and OO languages.
• Experience with SDLC, CI/CD, agile/scrum, and testing.
• Experience with Docker, Linux, and cloud development.

Responsibilities

• Research academic literature to stay current on theories, techniques, and tools.
• Collaborate in a team to develop deep learning architectures and pipelines for novel applications.
• Implement solutions in Python (PyTorch).
• Deliver high-quality, carefully tested software.
• Participate in team brainstorming to shape innovative solutions.

Skills

Deep learning

PyTorch

TensorFlow

Computer vision

Python

Software architecture

Git

Communication

Presentation

CI/CD

Education

MS in Computer Science or related field

BS in Computer Science or related field

Tools

AWS

Docker

Linux

Job description

Expedition Technology seeks a Deep Learning and Software Engineer to join a dynamic team delivering novel Intel Community solutions. You will design, train, evaluate, and productize DL models (YOLO, Faster R-CNN, Mask R-CNN) and deploy end-to-end systems in AWS, using PyTorch or TensorFlow.

Expect rigorous testing, collaboration, and hands-on development in a fast-paced, security-focused environment. The role emphasizes end-to-end pipeline development, data sourcing, model training, and