Staff Computer Vision AI/ML Engineer

CACI•Aurora, CO

7d•Hybrid

About The Position

This position 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. 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.

Requirements

Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
Experience selecting a technical AI/ML approach and then iterating/pivoting as needed to enhance performance
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 wither convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.)
Effective communicator with the ability to write and present technical reports both internally to the engineering team and externally to customers
5+ years of experience, preferably in software development or as a data scientist with 3+ years of developing/training AI/ML models
Active TS/SCI U.S. Government Security Clearance

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 Linux
Experience with implementing tracking and fusion, and pattern-of-life algorithms
Experience in application deployment, virtualization, and containerization
Experience shaping and writing proposals
A TS/SCI clearance with SSBI and CI Poly to support the government

Responsibilities

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 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