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AI and ML Engineer

United States, Annapolis Junction 99000.00 - 225000.00 USD / Year · Job Posted January 30, 2026
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Job Description

As an ML engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data. You’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a large community of ML engineers across the company and collaborate with data scientists, solutions architects, subject matter experts, product owners, and end users to deliver world class AI/ML solutions to a wide variety of national security problems. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Job Responsibility

  • Train, test, deploy, and maintain models that learn from data
  • Own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies
  • Collaborate with data scientists, solutions architects, subject matter experts, product owners, and end users to deliver world class AI/ML solutions
  • Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks

Requirements

  • 3+ years of experience in AL/ML-based solutions, including Python programming and deep learning frameworks such as PyTorch, TensorFlow, or Keras
  • Experience developing Natural Language Processing (NLP), Large Language Models (LLM), and Retrieval-Augmented Generation (RAG)-enabled solutions
  • Experience applying AI/ML research to develop AI/ML solutions
  • Knowledge of core AI/ML concepts, including clustering, regression, classification, algorithm selection, and model evaluation
  • Knowledge of the Software Development Life Cycle (SDLC) and commonly used tools such as Git
  • Ability to work independently with limited guidance and direction
  • TS/SCI clearance with a polygraph
  • Bachelor's degree in a CS, AI, Mathematics, or Statistics field

Nice to have

  • Experience in rapid prototyping or developing proofs of concepts to demonstrate or validate AI/ML capabilities
  • Experience deploying AI/ML solutions into production environments using end-to-end model pipelines and tools such as Docker or Kubernetes
  • Experience with AI agent frameworks, including LangChain or LlamaIndex
  • Experience fine-tuning large-scale models for domain-specific tasks in secure or fully isolated, air-gapped environments
  • Experience leading small teams of AI/ML developers or researchers
  • Experience with high performance computing
  • Experience with major cloud platforms such as AWS, and their respective AI services such as SageMaker
  • Experience with data analysis and creation of data-driven visualizations
  • Master’s degree in CS, AI, Mathematics, Statistics, or a related field

What we offer

  • Health, life, disability, financial, and retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program

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