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Jobs · Engineering · Michigan

Senior Computer Vision AI/ML Engineer (TS/SCI) {S}

Danbury Mission Technologies · Lewiston, MI · 3 mo ago
Engineering$130k–$200k/yrFull-time

Position Overview

This position is for a Senior 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).

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

Required Qualifications

  • BS in machine learning, computer science, computer vision, mathematics, or relevant fields

  • 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

Preferred Qualifications

  • 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

  • Active TS/SCI with a Counter Intelligence (CI) or recent Full-Scope Polygraph (FSP) U.S. Government Security Clearance

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