Computer Vision AI​/ML Engineer

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.

• 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.

• 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, Tensor Flow, 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.

• 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, Space Net, 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.