CACI International Inc. logo

Senior Computer Vision Ai/Ml Engineer

CACI International Inc.King Of Prussia, PA

$82,100 - $172,400 / year

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.1

Reclaim your time by letting our AI handle the grunt work of job searching.

We continuously scan millions of openings to find your top matches.

pay-wall

Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site
Compensation
$82,100-$172,400/year
Benefits
Health Insurance
Family/Dependent Health
Paid Vacation

Job Description

Job Title: Senior 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: Up to 10%

Type of Travel: Local

Anticipated Posting End: 12/25/2026

The 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:

  • 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
  • 5+ 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:

  • 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
  • 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:

$82,100-$172,400

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.

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

pay-wall

FAQs About Senior Computer Vision Ai/Ml Engineer Jobs at CACI International Inc.

What is the work location for this position at CACI International Inc.?
This job at CACI International Inc. is located in King Of Prussia, PA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at CACI International Inc.?
Candidates can expect a pay range of $82,100 and $172,400 per year.
What employment applies to this position at CACI International Inc.?
CACI International Inc. lists this role as a Full-time position.
What experience level is required for this role at CACI International Inc.?
CACI International Inc. is looking for a candidate with "Senior-level" experience level.
What benefits are offered by CACI International Inc. for this role?
CACI International Inc. offers following benefits: Health Insurance, Family/Dependent Health, Paid Vacation, Career Development, 401k Matching/Retirement Savings, Tuition/Education Assistance, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at CACI International Inc.?
You can apply for this role at CACI International Inc. either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.