Computer Vision AI​/ML Engineer

Job Title:

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: 12/25/2026T he 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 clearanceB.S. in machine learning, computer science, mathematics, or related field3+ years of Computer Vision AI/ML development experience

Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, Num Py, Polars

Experience with supervised and unsupervised learning

Experience with Python and any of the following Python machine learning frameworks:
PyTorch, Tensor Flow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCVExperience 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 OPIRExperience working with datasets of overhead imagery like xView, Space Net 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.

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