{"schemaVersion":"jobsearcher.job.v1","id":"8d27cb2e968aa2c31c5df945","url":"https://jobsearcher.com/jobs/8d27cb2e968aa2c31c5df945","canonicalUrl":"https://jobsearcher.com/jobs/8d27cb2e968aa2c31c5df945","title":"Computer Vision Engineer","description":"We are seeking a mission-driven Senior Computer Vision Engineer to support a high-impact YOLO-based model design and implementation. In this role, you will join a multidisciplinary team tasked with building a system for detecting, assessing, and tracking drugs and weapons being trafficked into the United States. This position combines technical innovation with national security, enabling data-driven insights that will keep our country safer.This is a full time, long term initiative. Hybrid in Ashburn, VA.Key Responsibilities:Model Training & Tuning: Develop and fine-tune YOLO architectures for maximum accuracy (mAP) and efficiency.Video Tracking: Implement robust single-camera tracking using algorithms like ByteTrack, BoT-SORT, or DeepSORT.Multi-Camera Re-ID: Architect systems for Multi-Target Multi-Camera Tracking (MTMCT) to maintain object persistent IDs across non-overlapping camera views.Condition Optimization: Use advanced data augmentation and domain adaptation techniques to ensure models perform reliably in diverse weather and lighting.Performance Engineering: Optimize model inference using TensorRT, OpenVINO, or ONNX to achieve real-time performance on target hardware.Pipeline Development: Build and maintain automated MLOps pipelines for data labeling, model validation, and deployment.Required Skills & Qualifications:Clearance: must be able to obtain a TS/SCI (Client will sponsor)Computer Vision Mastery: 3+ years of experience with object detection, segmentation, and tracking.YOLO Expertise: Deep familiarity with the Ultralytics ecosystem and recent YOLO iterations (v8, v10, v11, or 2026 research models).Programming: High proficiency in Python and C++, with experience in PyTorch or TensorFlow.Libraries: Hands-on experience with OpenCV, Filter-based tracking (Kalman Filters), and Re-ID feature embedding libraries.Data Engineering: Proficiency in building custom datasets, handling class imbalance, and implementing synthetic data generation.Hardware: Experience deploying on NVIDIA Jetson/Orin, GPUs, or mobile edge devices.Preferred Qualifications:Computer Science degree or a related field.Experience with Spatio-Temporal constraints for camera-to-camera hand-off logic.Knowledge of GStreamer or NVIDIA DeepStream for high-throughput video pipelines.","company":"Stem It","rawCompany":"stem it","city":"Ashburn","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-05-08T01:35:43.731Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Computer Vision Engineer","description":"We are seeking a mission-driven Senior Computer Vision Engineer to support a high-impact YOLO-based model design and implementation. In this role, you will join a multidisciplinary team tasked with building a system for detecting, assessing, and tracking drugs and weapons being trafficked into the United States. This position combines technical innovation with national security, enabling data-driven insights that will keep our country safer.This is a full time, long term initiative. Hybrid in Ashburn, VA.Key Responsibilities:Model Training & Tuning: Develop and fine-tune YOLO architectures for maximum accuracy (mAP) and efficiency.Video Tracking: Implement robust single-camera tracking using algorithms like ByteTrack, BoT-SORT, or DeepSORT.Multi-Camera Re-ID: Architect systems for Multi-Target Multi-Camera Tracking (MTMCT) to maintain object persistent IDs across non-overlapping camera views.Condition Optimization: Use advanced data augmentation and domain adaptation techniques to ensure models perform reliably in diverse weather and lighting.Performance Engineering: Optimize model inference using TensorRT, OpenVINO, or ONNX to achieve real-time performance on target hardware.Pipeline Development: Build and maintain automated MLOps pipelines for data labeling, model validation, and deployment.Required Skills & Qualifications:Clearance: must be able to obtain a TS/SCI (Client will sponsor)Computer Vision Mastery: 3+ years of experience with object detection, segmentation, and tracking.YOLO Expertise: Deep familiarity with the Ultralytics ecosystem and recent YOLO iterations (v8, v10, v11, or 2026 research models).Programming: High proficiency in Python and C++, with experience in PyTorch or TensorFlow.Libraries: Hands-on experience with OpenCV, Filter-based tracking (Kalman Filters), and Re-ID feature embedding libraries.Data Engineering: Proficiency in building custom datasets, handling class imbalance, and implementing synthetic data generation.Hardware: Experience deploying on NVIDIA Jetson/Orin, GPUs, or mobile edge devices.Preferred Qualifications:Computer Science degree or a related field.Experience with Spatio-Temporal constraints for camera-to-camera hand-off logic.Knowledge of GStreamer or NVIDIA DeepStream for high-throughput video pipelines.","datePosted":"2026-05-08T01:35:43.731Z","dateModified":"2026-05-08T01:35:43.731Z","hiringOrganization":{"@type":"Organization","name":"Stem It","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ashburn","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8d27cb2e968aa2c31c5df945"},"url":"https://jobsearcher.com/jobs/8d27cb2e968aa2c31c5df945"}}