Lead CV/ML Engineer — Remote Sensing & ATR

RiseMe; Aurora (CO); On-site; USD 69,000 - 142,000; Full time

Job summary

CAC I is seeking a Computer Vision AI/ML Engineer to apply cutting-edge CV algorithms to remote sensing problems such as ATR and multimodal data fusion for EO and SAR. The role emphasizes maturing, optimizing, and deploying these models to a cloud-hosted environment.

You will join a team of researchers and developers, mentoring junior engineers and leading projects across domains. A TS/SCI clearance and strong Python/ML skills are required.

Qualifications

• Active TS/SCI government security clearance required.
• B.S. in machine learning, computer science, mathematics, or related field.
• 3+ years of Computer Vision AI/ML development experience.
• Proficiency with Python and ML libraries (PyTorch, OpenCV, NumPy, etc.).
• Experience with supervised and unsupervised learning.
• Experience training CV models (YOLOv3-11, YOLOX) or Vision Transformers.

Responsibilities

• Lead a small team of developers and researchers to implement AI/ML CV algorithms for remote sensing.
• Analyze and preprocess large remote sensing datasets.
• Research ATR solutions and multimodal data fusion for ATR across EO/SAR domains.
• Train, optimize, and deploy deep learning CV models in a cloud environment.
• Review publications, translate concepts for government customers, and write technical docs.

Skills

TS/SCI clearance

Python

PyTorch

OpenCV

NumPy

Supervised/Unsupervised learning

YOLO/Transformer CV models

Education

B.S. in ML/CS/Math

Tools

PyTorch Lightning

OpenCV

NumPy

scikit-learn

Keras/TensorFlow

Job description

CAC I is seeking a Computer Vision AI/ML Engineer to apply cutting-edge CV algorithms to remote sensing problems such as ATR and multimodal data fusion for EO and SAR. The role emphasizes maturing, optimizing, and deploying these models to a cloud-hosted environment.

You will join a team of researchers and developers, mentoring junior engineers and leading projects across domains. A TS/SCI clearance and strong Python/ML skills are required.