Computer Vision AI/ML Engineer
CACI Open · verified Oct 22, 2026 At a glance
Mid-level Machine Learning Engineering role at CACI. Aurora · full-time · $69,100–$141,500 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Prepare large remote-sensing datasets, then investigate supervised and unsupervised approaches to target recognition
- Test how combining electro-optical and radar data affects target recognition across different collection conditions
- Train and refine deep-learning vision models, then deploy them in cloud environments for analyst use
- Review research papers, explain useful findings to government customers, and apply them to defense and commercial work
- Write technical guides for the code and program capabilities, and help lead or mentor a small engineering team
What you bring
- An active TS/SCI clearance and a bachelor's degree in machine learning, computer science, mathematics or a related field
- At least three years developing computer-vision AI/ML systems
- Working knowledge of Python and machine-learning libraries, including PyTorch, OpenCV or another listed option
- Experience with supervised and unsupervised learning, plus training convolutional or transformer-based vision models
Who this fits
This role suits a computer-vision engineer who wants to research and deploy remote-sensing models, with opportunities to guide junior engineers. An active TS/SCI clearance is required, and travel may reach ten percent, locally.
From the employer
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
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:
$69,100-$141,500CACI 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.