The Opportunity:

This position is for a Computer Vision AI/ML Engineer looking for new and challenging problems.  As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to problems in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for Electro-Optical (EO) and Synthetic Aperture RADAR (SAR).  

You will be responsible for maturing, optimizing, and deploying these algorithms to a cloud-hosted environment. 

Responsibilities: 

Our ideal candidate is an experienced professional who has researched and developed AI/ML-based computer vision algorithms and deployed these algorithms to operational environments. This candidate will have the opportunity to apply their knowledge in AI/ML to solve a broad set of problems across multiple domains. This candidate will be joining a team of talented researchers and software developers with the opportunity to lead and mentor junior engineers. 

As a CV AI/ML Engineer, your responsibilities will include:  

• Opportunities to lead a small team consisting of developers and researchers to implement AI/ML algorithms to solve computer vision problems in remote sensing 

• Analyzing and pre-processing large remote sensing datasets 

• Researching supervised and unsupervised ATR solutions for remote sensing 

• Researching the performance benefits of multimodal data fusion for ATR, under diverse data collection scenarios 

• Training, optimizing, and deploying deep learning CV models that provide analysts with actionable insights  

• Reviewing relevant publications to understand cutting edge concepts, break down key ideas to government customers, and apply to defense and commercial applications 

• Writing technical documentation supporting code, program capabilities and user-guides 

Qualifications:  

Required:

• Active TS/SCI government security clearance 

• 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 such as PyTorch, Lightning, OpenCV, NumPy, Polars 

• Experience with supervised and unsupervised learning 

• Experience with Python and any of the following Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCV 

• Experience training convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.) 

Desired:

• Experience with Self-Supervised Learning (SSL) and student-teacher approaches (e.g., DINO, knowledge distillation, BYOL)  

• Experience with applying AI/ML algorithms to Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion 

• Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problems 

• Experience working with image processing chains for any of the following domains: SAR, EO, and OPIR  

• Experience working with datasets of overhead imagery like xView, SpaceNet datasets, Functional Map of the World, xView3, MSTAR, HRSID, CAESAR, DOTA v1/v2, etc. 

• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc. 

• Experience with version control processes and tools for code version control, data version control, and model version control 

• Experience with Linux 

• Experience with implementing tracking and fusion, and pattern-of-life algorithms 

• Experience in application deployment, virtualization, and containerization 
  
   

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is: