10x AI Engineer

10x National Security, LLC
Leesburg, United States of America
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Leesburg, United States of America

Tech stack

Artificial Intelligence
Static Program Analysis
Continuous Integration
Data Security
Python
Machine Learning
TensorFlow
Software Engineering
Systems Integration
Management of Software Versions
Real Time Systems
Data Ingestion
PyTorch
Scikit Learn
Kubernetes
Information Technology
HuggingFace
Data Management
Machine Learning Operations
Devsecops
Docker
Data Generation

Job description

At 10x National Security, we build fast, mission-aligned software and AI capabilities that accelerate outcomes for national security. We are the team behind solutions like VDetect, Vortex HMI, and Voxaverse, and we thrive where others stall-on the edge, in the cloud, across enclaves, and under pressure. We work shoulder-to-shoulder with DoD and IC operators to deploy AI systems that are reliable, explainable, and operational in DDIL environments.

We are looking for exceptional AI Engineers who want to do meaningful work-no hype, just impact., As an AI Engineer supporting one of our critical DoD customers, you will design, develop, and deploy artificial intelligence and machine learning capabilities into real-world operational environments. You will work closely with mission stakeholders, software developers, and DevSecOps teams to build secure, scalable, and robust AI systems. You will be expected to work across the lifecycle-data ingestion, model training, MLOps, and inference integration-under security constraints and in support of national defense objectives., Develop and deploy ML models and pipelines that support national security missions.

Engineer production-ready AI solutions using Python, PyTorch, TensorFlow, etc. in edge or cloud environments.

Collaborate with software teams to containerize, optimize, and integrate models into full-stack systems using Docker, Kubernetes, or equivalent.

Implement MLOps pipelines using tools like MLFlow, ClearML, or SageMaker to enable model versioning, reproducibility, and CI/CD.

Build and manage secure data workflows-feature stores, labeling pipelines, and synthetic data generation-for both unclassified and classified environments.

Work directly with government operators, mission owners, and analysts to refine requirements and deploy mission-critical tools., Mission-Focused Culture: Every engineer at 10x is building something that matters. We don't do slideware-we deploy.

S3O3 Values: Speed, Science, Simplicity, Ownership, Openness, and Opportunity define how we operate.

Startup Vibe, National Security Impact: Join a team that moves fast, thinks deeply, and works directly with warfighters and analysts to solve the hardest problems in defense and intelligence.

Equity and Upside: Cash + equity packages available. Build something that you own.

Requirements

U.S. Citizen with an active Secret or higher clearance (or clearable to Top Secret).

Bachelor's or Master's degree in Computer Science, Engineering, Applied Math, or a related technical field.

3+ years of experience developing and deploying machine learning models.

Deep proficiency in Python and major AI/ML libraries (e.g., PyTorch, HuggingFace Transformers, scikit-learn).

Strong experience with end-to-end MLOps and model deployment in containerized environments.

Familiarity with security-first software development practices (e.g., static code analysis, SBOMs, STIGs, zero trust).

Strong communication skills and the ability to work in cross-functional, agile teams.

Preferred Qualifications Experience integrating models with real-time systems or sensor data platforms.

Familiarity with DoD AI guidance documents such as DoD 8000.01, RAIC, and NIST IR 8432.

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