Staff 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.

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.