Senior Computer Vision AI/ML Engineer

About the role

CACI is hiring a Senior Computer Vision AI/ML Engineer in Aurora, Colorado, to apply advanced AI/ML-based computer vision algorithms to remote sensing problems such as Automatic Target Recognition (ATR) and multimodal data fusion for electro-optical (EO) and synthetic aperture radar (SAR). The engineer matures, optimizes and deploys these algorithms in a cloud-hosted environment, works with researchers and software developers, and leads and mentors junior engineers. The position requires a TS/SCI security clearance and involves up to 10% local travel.

Key responsibilities

• Lead a small team of developers and researchers to implement AI/ML algorithms for computer vision problems in remote sensing
• Analyze and preprocess large remote sensing datasets
• Research supervised and unsupervised ATR solutions and the performance of multimodal data fusion under diverse data collection scenarios
• Train, optimize and deploy deep learning CV models that give analysts actionable insights
• Review publications, explain key ideas to government customers and apply concepts to defense and commercial applications
• Write technical documentation supporting code, program capabilities and user guides

Required profile

• Active TS/SCI government security clearance
• B.S. in machine learning, computer science, mathematics or a related field
• 5+ years of computer vision AI/ML development experience
• Experience training convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based models (Vision Transformer, Swin)

Required skills

• Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy and Polars
• Supervised and unsupervised learning
• Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, OpenCV
• Version control, Linux, and deployment, virtualization and containerization experience

What we offer

• Proposed pay range of $82,100-$172,400, depending on location, experience and skills
• Healthcare, wellness, financial, retirement, family support, continuing education and time off benefits
• A flexible time off benefit and learning resources