Senior Computer Vision AI/ML Engineer

CACI International Inc.
Aurora, CO, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$82,100.0 - $172,400.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Computer Vision Data Cleansing Data Fusion Python (Programming Language) Machine Learning NumPy OpenCV Tensorflow
+11 more
Transport Layer Security Pytorch Salesforce Lightning Deep Learning Keras Scikit Learn Information Technology Super-Resolution Functional Programming Software Version Control Unsupervised Learning

Job description

Job Title: Senior Computer Vision AI/ML EngineerJob Category: ScienceTime Type: Full timeMinimum Clearance Required to Start: TS/SCIEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: LocalAnticipated Posting End: 12/25/2026The Opportunity:This position is for a Senior 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:Ā·

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

Analyzing and pre-processing large remote sensing datasetsĀ·

Researching supervised and unsupervised ATR solutions for remote sensingĀ·

Researching the performance benefits of multimodal data fusion for ATR, under diverse data collection scenariosĀ·

Training, optimizing, and deploying deep learning CV models that provide analysts with actionable insightsĀ·

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

Writing technical documentation supporting code, program capabilities and user-guidesQualifications: Required

Requirements

Active TS/SCI government security clearanceĀ·

B.S. in machine learning, computer science, mathematics, or related fieldĀ·

5+ years of Computer Vision AI/ML development experienceĀ·

Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, PolarsĀ·

Experience with supervised and unsupervised learningĀ·

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

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

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

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

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

Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problemsĀ·

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

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

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

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

Experience with LinuxĀ·

Experience with implementing tracking and fusion, and pattern-of-life algorithmsĀ·

Benefits & conditions

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: $82,100-$172,400CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for

About the company

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

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