Principal Deep Learning Engineer

At Expedition Technology (EXP), we work on real-world problems whose solutions will make an immediate impact on national security. If you desire an opportunity where you will apply your deep learning engineering expertise to challenging problems with no previously known solutions, EXP is the place to be!

We are seeking a Senior Level Engineer who will work with state-of-the-art large multi-modal models as applied to image and language processing. As part of our team, you'll use your knowledge of foundation models to customize and fine tune downstream models that solve specific tasks. In particular, we seek novel techniques to assess model robustness and counter‑AI vulnerabilities of foundation models.

You'll have the opportunity to dive into models with complex architectures and use your coding expertise to modify them to our use cases. You'll have the freedom to scour current research to stay abreast of advances in Large Language Models (LLMs), Large Vision Models (LVMs), Large Vision‑Language Models (LVLMs) and other foundation models and apply that knowledge to address Intelligence Community (IC) challenges.

If you're energized to work in a "hands on keyboard" role alongside a dynamic team that is delivering novel solutions to the US DOD and Intel Communities in the areas of applied AI/DL, we'd like to talk with you.

• United States Citizenship – All candidates MUST be US Citizens and eligible for a US‑government issued security clearance of Top Secret or higher.
• BS, MS, or Ph.D. in Computer Science, Engineering, Math, or related field.
• Eight (8) plus years of hands‑on engineering experience in Deep Learning with a focus on developing computer vision applications and natural language processing (NLP).

• Proven proficiency in PyTorch, Tensor Flow, or other modern machine learning framework.
• Solid theoretical understanding of deep neural networks as well as their applications, particularly in computer vision, object detection, and NLP.
• Experience with foundation models like CLIP, BLIP‑2, Mini GPT‑4, or Open Flamingo.
• Experience with training and evaluating different ViT type architectures.
• Proven experience architecting, training, testing, and deploying machine learning solutions within an AWS environment.
• Strong software development skills to include object‑oriented design and implementation in languages like Python.
• Strong technical presentation and writing skills.
• Experience using collaborative source code management tools (Git).
• Experience with software testing (unit, integration, functional, etc.).
• Exposure to software containerization with Docker, Linux, and cloud development.
• Exposure with the full software development lifecycle, CI/CD, agile/scrum methodologies.

• Active Secret US Government security clearance (must be eligible to upgrade to TS/SCI).
• Ability to thrive in a collaborative, team‑oriented culture and make an impact on innovation.

Secret

Expedition Technology (EXP) designs, develops, and delivers innovative, advanced signal, image, and multi‑INT solutions for the defense and intelligence communities. We leverage advanced algorithms, platforms, and technologies to solve our customers' most complex, demanding, and urgent C4

ISR challenges. Our culture promotes individual growth and opportunity, prioritizes a collaborative team spirit, and invites the intellectually curious to creatively solve challenging problems. Headquartered in Northern Virginia's high‑tech corridor, EXP is a rapidly growing, privately held, employee‑owned company that pushes the boundaries of what is possible every day.

Interested in joining our team? Let's explore together.

To learn more about EXP and discover why we are an award‑winning workplace, visit our web site and follow us on Linked In.

Expedition Technology (EXP) offers a flexible, self‑directed benefits package that is designed to fit your individual needs. Here’s a glimpse of the outstanding benefits you can enjoy when you join our team:

• Company‑paid medical, dental, and vision insurance
• Generous Time Off:
  Enjoy 12 paid holidays,…