Security-Cleared Deep Learning Software Engineer

Socket.dev; Herndon (VA); On-site; USD 120,000 - 170,000; Full time

Job summary

Expedition Technology (EXP) seeks an experienced Deep Learning-and-Software Engineer to apply DL and software engineering to challenging intel-focused problems. You will develop DL architectures and end-to-end deployables, from data handling to productizing models in AWS.

The role demands Top Secret clearance or eligibility, strong Python and PyTorch skills, and proven ability to ship robust, tested software in a team setting.

Qualifications

• Active Top Secret clearance (TS/SCI preferred).
• US Citizenship – eligible to maintain US Government security clearance.
• MS with 2+ years or BS with 4+ years in a technical field.
• Proficiency in PyTorch, TensorFlow or similar ML framework.
• Strong theory of deep neural networks and CV applications.
• Experience deploying ML solutions in AWS.
• Experience with Git and software collaboration tools.
• Strong presentation and writing skills.
• Proficient in Python and OO/Procedural languages.
• Solid data structures and algorithms knowledge.
• Experience with CI/CD, Agile/Scrum and SDLC.
• Exposure to Docker, Linux, and cloud development.

Responsibilities

• Research literature to stay current on DL theories and tools.
• Collaborate to develop deep learning architectures and pipelines.
• Implement solutions in Python (PyTorch).
• Deliver high-quality, well-tested software.
• Participate in brainstorming to shape innovative solutions.

Skills

Deep Learning

Computer Vision

Python

Education

MS in CS or related field

BS in CS or related field

Tools

PyTorch

TensorFlow

Git

Docker

AWS

Job description

Expedition Technology (EXP) seeks an experienced Deep Learning-and-Software Engineer to apply DL and software engineering to challenging intel-focused problems. You will develop DL architectures and end-to-end deployables, from data handling to productizing models in AWS.

The role demands Top Secret clearance or eligibility, strong Python and PyTorch skills, and proven ability to ship robust, tested software in a team setting.