Senior Computer Vision AI/ML Engineer for Remote Sensing

CACI; Aurora (CO); On-site; USD 140,000 - 190,000; Full time

Job summary

CACI is seeking a Senior Computer Vision AI/ML Engineer to apply cutting-edge CV/ML techniques to remote sensing problems including Automatic Target Recognition (ATR) and multimodal data fusion for EO and SAR. The role includes maturing, optimizing, and deploying these algorithms to a cloud-hosted environment.

You will join a team of researchers and developers, with opportunities to lead and mentor junior engineers and to apply your knowledge across defense and commercial applications.

Qualifications

• Active TS/SCI clearance is required.
• BS in machine learning, computer science, mathematics, or related field.
• 5+ years of Computer Vision AI/ML development experience.
• Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars.
• Experience with supervised and unsupervised learning.

Responsibilities

• Lead and mentor junior engineers.
• Implement AI/ML algorithms to solve computer vision problems in remote sensing.
• Analyze and pre-process large remote sensing datasets.
• Research supervised and unsupervised ATR solutions for remote sensing.
• Research the performance benefits of multimodal data fusion for ATR under diverse data collection scenarios.
• Train, optimize, and deploy deep learning CV models that provide analysts with actionable insights.
• Write technical documentation supporting code, program capabilities and user guides.

Skills

Python

PyTorch

OpenCV

NumPy

Polars

PyTorch Lightning

Machine Learning

Convolutional CV

YOLOv3-11

Vision Transformer

Self-Supervised Learning

AWS

Linux

Education

BS in machine learning, computer science, mathematics, or related field

MS/PhD in ML/CS/CV/Math

Tools

AWS EC2/S3/Lambda

Git

Docker

Kubernetes

Job description

CACI is seeking a Senior Computer Vision AI/ML Engineer to apply cutting-edge CV/ML techniques to remote sensing problems including Automatic Target Recognition (ATR) and multimodal data fusion for EO and SAR. The role includes maturing, optimizing, and deploying these algorithms to a cloud-hosted environment.

You will join a team of researchers and developers, with opportunities to lead and mentor junior engineers and to apply your knowledge across defense and commercial applications.