Job Summary The Staff Computer Vision AI/ML Engineer leads the research, development, optimization, and deployment of AI/ML-based computer vision solutions for remote sensing applications. The role focuses on Automatic Target Recognition (ATR), multimodal data fusion, deep learning, image processing, and cloud-based deployment. This position also provides technical leadership by guiding researchers and software developers and helping mature AI/ML capabilities from prototype through operational deployment. Key Responsibilities • Lead a team of developers and researchers implementing AI/ML algorithms for computer vision and remote sensing. • Analyze and preprocess large remote sensing datasets. • Research supervised and unsupervised Automatic Target Recognition (ATR) solutions. • Research multimodal data fusion for ATR across diverse data-collection scenarios. • Train, optimize, and deploy deep-learning computer vision models. • Apply AI/ML techniques to solve computer vision problems across multiple domains. • Evaluate emerging research and publications related to AI/ML and computer vision. • Translate complex technical concepts into understandable information for government customers. • Apply AI/ML research to defense and commercial applications. • Guide and mentor junior engineers, researchers, and software developers. • Collaborate with program management to define project scope, schedules, and milestones. • Select appropriate AI/ML approaches and iterate or pivot strategies to improve performance. • Develop technical documentation, code documentation, capability descriptions, and user guides. • Support the development and growth of AI/ML technical capabilities and strategy. Required Qualifications • Active TS/SCI security clearance. • Bachelor's degree in Data Science, AI/ML, Computer Science, or a related field. • 10+ years of professional experience, preferably in software development or data science. • 5+ years of experience developing and training AI/ML models. • Experience leading interdisciplinary teams of researchers and software developers. • Experience working with program managers to define project scope, schedules, and milestones. • Experience selecting, evaluating, and improving AI/ML approaches. • Strong Python programming experience. • Experience with AI/ML frameworks such as PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn, scikit-image, or OpenCV. • Experience developing convolutional or transformer-based computer vision models. • Strong technical communication and documentation skills. • Ability to prepare and present technical reports to engineering teams and customers. Desired Qualifications • MS or PhD in Machine Learning, Computer Science, Computer Vision, Mathematics, or a related field. • Experience with Self-Supervised Learning (SSL), DINO, knowledge distillation, or BYOL. • Experience with image segmentation, super resolution, image denoising, image restoration, and Multi-INT fusion. • Experience with Graph Convolutional Networks (GCNs). • Experience with SAR, EO, or OPIR image-processing chains. • Experience with overhead imagery datasets such as xView, SpaceNet, MSTAR, HRSID, DOTA, and similar datasets. • Familiarity with AWS services such as EC2, S3, and Lambda. • Experience with code, data, and model version-control processes. • Experience with Linux. • Experience with tracking, fusion, and pattern-of-life algorithms. • Experience with application deployment, virtualization, and containerization. • Experience supporting proposal development and writing. • Active TS/SCI clearance with Polygraph.