SAIC is seeking an Applied AI/ML Engineer - DoD Systems Integration who will play a critical role in designing, developing, and deploying advanced AI/ML solutions to support mission-critical systems for the Department of Defense (DoD). The Applied AI/ML Engineer will work on cutting-edge technologies, including large language models (LLMs), computer vision, and advanced analytics, to solve complex challenges in defense and national security.
Requirements
- Hands-on experience with RLHF pipelines, reward modeling, or behavioral policy tuning in LLMs.
- Familiarity with secure coding practices and deployment of AI/ML models in cloud environments (e.g., AWS GovCloud, Azure Government).
- Experience optimizing RAG systems and tuning retrieval performance using custom embeddings or search strategies.
- Knowledge of integrating AI/ML systems into mission-critical workflows, such as command and control (C2) systems or ISR (Intelligence, Surveillance, and Reconnaissance) platforms.
Responsibilities
- Design, develop, and deploy AI/ML models and pipelines to address DoD-specific challenges, such as predictive analytics, anomaly detection, and decision support systems.
- Build and optimize LLM-based systems for tasks like natural language understanding, document summarization, and knowledge extraction.
- Develop and maintain data pipelines, including preprocessing, feature engineering, and integration with DoD systems.
- Implement and evaluate AI/ML models using rigorous experimental methodologies, including proper train/validation/test protocols, statistical significance testing, and ablation studies.
- Collaborate with system architects, engineers, and program managers to integrate AI/ML solutions into existing DoD systems and workflows.
- Ensure compliance with DoD security and data handling standards, including adherence to the DoD Enterprise DevSecOps initiative.
- Monitor and evaluate the performance of deployed models, iterating to improve accuracy, efficiency, and reliability.
Other
- Must possess an active Secret security clearance with the ability to maintain; US Citizenship required.
- Experience working with DoD systems, including knowledge of compliance frameworks like RMF (Risk Management Framework) and the DoD Enterprise DevSecOps initiative.
- Contributions to open-source projects or publications in applied AI/ML.
- Yes, 10 % of the Time
