Staff Computer Vision AI/ML Engineer

CACI; United States; On-site; USD 115,000 - 252,000; Full time

Job summary

CACI is seeking a Staff Computer Vision AI/ML Engineer in Aurora, CO or King of Prussia, PA to apply cutting-edge AI/ML CV algorithms to remote sensing problems including Automatic Target Recognition and multimodal data fusion for EO and SAR.

You will mature, optimize, and deploy these algorithms in a cloud-hosted environment and guide a team of researchers from prototype to operations, delivering actionable insights for defense and commercial applications.

Qualifications

• Active TS/SCI Clearance required.
• B.S. in Data Science, AI/ML, Computer Science, or related field.
• 10+ years experience; 5+ years developing/training AI/ML models.
• Experience leading an interdisciplinary team and coordinating with a program manager.
• Experience selecting a technical AI/ML approach and iterating to improve performance.
• Experience with Python and ML frameworks: PyTorch, TensorFlow, Keras, scikit-learn/OpenCV.
• Experience with CV models (e.g. YOLOv3-11, YOLOX) or Vision Transformers.
• Effective written and verbal communication with internal teams and customers.

Responsibilities

• Lead a small team of developers and researchers to implement AI/ML CV in remote sensing.
• Analyze and preprocess large remote sensing datasets.
• Research supervised/unsupervised ATR solutions for remote sensing.
• Research multimodal data fusion for ATR across diverse data collection scenarios.
• Train, optimize, and deploy deep learning CV models for analysts.
• Review publications to translate concepts for government customers.
• Write technical documentation for code, capabilities and user guides.

Skills

Active TS/SCI Clearance

Python

PyTorch

TensorFlow

Leadership

Remote sensing

AI/ML model development

Team leadership

Communication

Research analysis

Education

B.S. in Data Science, AI/ML, Computer Science, or related field

MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields

Tools

PyTorch

TensorFlow

Keras

OpenCV

AWS (EC2/S3)

Job description

Job Title: Staff Computer Vision AI/ML Engineer

Job Category: Science

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI

Employee Type: Regular

Percentage of Travel Required: None

Type of Travel: None

Anticipated Posting End: 12/31/2026

The Opportunity:

This position, in either Aurora, CO or King of Prussia, PA, is for a Staff Computer Vision AI/ML Engineer. 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. You will also serve as a technical leader and will have the opportunity to guide a team of researchers and developers to see these algorithms from prototype to operations.

Responsibilities:

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

• Leading 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 Clearance
• B.S. in Data Science, AI/ML, Computer Science, or related field
• 10+ years of experience, preferably in software development or as a data scientist with 5+ years of developing/training AI/ML model
• Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
• Experience selecting a technical AI/ML approach and then iterating/pivoting as needed to enhance performance
• 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 wither convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.)
• Effective communicator with the ability to write and present technical reports both internally to the engineering team and externally to customers

Desired:

• MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields
• 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
• Experience shaping and writing proposals
• Active TS/SCI U.S. Government Security Clearance with Polygraph

What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation’s most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

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:

$114,600-$252,100

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.