Job Description:Job SummaryThe
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.
Working Place: Aurora, Colorado, United States Company : 2026 Sept 10th Cyber - CACI 
