What We Do At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering challenges related to building, deploying, and sustaining AI-enabled systems for high-impact government missions. The Frontier Lab advances AI engineering and transitions frontier AI capabilities to government stakeholders through applied research, rapid prototyping, short-cycle TEVV, and technical advisory. Position Summary As a Senior Machine Learning Research Scientist in the Frontier Lab, you will serve as a senior individual contributor and technical leader, shaping and executing applied research and prototype capability development for government and DoW missions. This role spans the research-engineering spectrum: some SR MLRS hires may lean more research-heavy and others more engineering-heavy, but successful candidates collaborate effectively across both. You will operate with high autonomy, represent technical work with customers and stakeholders, and help guide Frontier Lab research direction—while remaining hands-on in development, evaluation, and delivery. Your work may span Frontier Lab focus areas such as: Agentic AI for mission workflows e.g., planning, analysis, decision support where autonomous and human-guided agents interact with tools, data systems, and operators. AI test, evaluation, verification, and validation TEVV to improve confidence in performance, robustness, uncertainty, and trustworthiness of ML-enabled systems. Mission-tailored language models, including techniques to improve accuracy and reliability, reduce hallucinations, and integrate structured knowledge for operational tasks. Mission modalities and multimodal learning, including sensor fusion and learning under noisy, sparse, or constrained data conditions including synthetic data and weakly-/self-supervised approaches. AI at the tactical edge, enabling capability under constrained compute/connectivity through efficient inference, compressi
