CACI International

Staff Computer Vision AI/ML Engineer

King of Prussia, PA, US$98,500-$206,800Posted 5 months ago

Job Description

Job ID 328237 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

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. Additionally, they will work our technical and business strategy leadership team to help shape our growing AI/ML portfolio.

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 collecti...

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