Staff Computer Vision AIML Engineer

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.
• Bachelors 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.

• 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.