Senior Computer Vision AI/ML Engineer

CACI•Aurora, CO

2d•Remote

About The Position

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.

Requirements

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.)
Experience with Linux

Nice To Haves

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 implementing tracking and fusion, and pattern-of-life algorithms
Experience in application deployment, virtualization, and containerization

Responsibilities

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