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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