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-$141,500
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.
