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Selected role

Principal Deep Learning Engineer

Expedition Technology Herndon, VA

Senior Full-time

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 finetune 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), as well as 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.

Here’s
what

you’ll

need to succeed:

Requirements:

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)

Skills and Experience:

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, 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

Preferred Qualifications:

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

Clearance Required:
Secret

Who is Expedition Technology?

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 C4ISR 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 LinkedIn.

Join Our Team and Enjoy Exceptional Benefits!

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, up to 33 days of PTO, and generous sick leave
Robust 401(k) Plan : Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing.
Student Loan Repayment : Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster.
Paid Parental Leave : Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member.
Tuition Reimbursement : Pursue further education with up to $5,250/year available to support your continuous learning and growth.
Referral Bonus Program : Earn rewards for bringing talented individuals into our team.
Exclusive Entertainment Perks : Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life.
Onsite Amenities : Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options.
Inspiring Work Culture : Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards.

Join us and be part of a team that values your well-being and professional growth. Apply today and take the first step towards a fulfilling career with us!

EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation
.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, genetic information, or protected veteran status.

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