Fort Meade, MD TS/SCI with Polygraph Full-Time Up to 16 hours/week after full acclimation and completion of telework training, subject to mission needs and leadership discretion $145,000 - $195,000 Actively hiring Active TS/SCI clearance required. Benz Technology is unable to sponsor security clearances. U.S. citizenship required. About the Role This role supports a Modeling, Test & Evaluation (MT&E) team focused on AI/ML development and analysis. You will apply machine learning techniques to assess, validate, and improve models in support of mission-driven analytical objectives. This is one of two open positions on the same team. Responsibilities Design, develop, and evaluate machine learning models and algorithms Conduct modeling, testing, and evaluation of AI/ML systems and pipelines Analyze model performance and recommend improvements based on evaluation results Collaborate with team members to integrate ML solutions into operational workflows Document findings, methodologies, and model performance metrics Support iterative development and testing cycles for AI/ML tools and applications Required Qualifications Hands-on experience developing and evaluating machine learning models Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with model testing, validation, and performance assessment Strong analytical and problem-solving skills applied to data-driven tasks Desired Qualifications Experience in a government or IC modeling and evaluation environment Familiarity with ML pipeline orchestration and experiment tracking tools Experience with NLP, computer vision, or other applied ML domains Background in statistical analysis or data science Why engineers join Benz 15% employer 401(k) — vested day one, no match required 28 paid days off per year $7,500 annual tuition reimbursement $2,500 training & development budget 28 years in business — our engineers stay through recompetes