Staff Computer Vision AI/ML Engineer

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

Requirements

• 5+ years of experience, preferably in software development or as a data scientist with 3+ years of developing/training AI/ML models
• Experience leading an interdisciplinary team of researchers and software developers
• 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 either 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
• Active TS/SCI U.S. Government Security Clearance