{"schemaVersion":"jobsearcher.job.v1","id":"019eb6f97b87ca64692c99de","url":"https://jobsearcher.com/jobs/019eb6f97b87ca64692c99de","canonicalUrl":"https://jobsearcher.com/jobs/019eb6f97b87ca64692c99de","title":"Senior Machine Learning Engineer","description":"MANTECH seeks a motivated, career and customer-oriented Senior Machine Learning Engineer with a specialization in Computer Vision to join our Data and AI Practice. This is currently a hybrid position with two days onsite in Ashburn, VA and three days remote.\nIn this role, you will collaborate with a cross-functional team to integrate vision systems into final products to deliver mission impact. The ideal candidate will have deep expertise and experience in computer vision, a strong grasp of machine learning tools and frameworks, and a pragmatic, customer-centric approach to applying ML models to solve complex problems.\nEach day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to aid officers in detecting threats while promoting efficient trade and travel.\n\nResponsibilities include but are not limited to:\nDesign, develop, and implement highly efficient computer vision algorithms and software primarily using Python and relevant libraries (e.g., OpenCV, NumPy, scikit-image).\nApply deep learning techniques (e.g., CNNs, RNNs, Transformers) for object detection, segmentation, tracking, and recognition using frameworks like TensorFlow or PyTorch.\nPerform comprehensive image preprocessing and augmentation on large datasets of both 2D (standard images/video/X-rays) and 3D (e.g., volumetric) data.\nDevelop and optimize biometric recognition systems (face, iris, fingerprint). Integrate biometric recognition with predictive modeling pipelines for risk scoring and anomaly detection.\nLead the integration and deployment of trained models into production environments (e.g., cloud, edge devices) using MLOps best practices\nDevelop and optimize models and inference pipelines for real-time inference, and efficiently handle large-scale data processing\nResearch, evaluate, and benchmark new computer vision technologies and academic advancements to maintain a competitive edge. Collaborate with cross-functional teams (e.g., Software Engineering, Data Science) to integrate vision systems into final products.\nMinimum Qualifications:\nHS Diploma/GED and 15-20 years of experience, AS/AA and 13-18 years, BS/BA and 7+ years or MS/MA/MBA and 5+ years or PhD/Doctorate and 3+ years.\nExpertise in using deep learning frameworks (PyTorch, TensorFlow, Keras) and computer vision libraries (OpenCV, SimpleITK, ITKm VTK).\nDemonstrated ability in image preprocessing techniques, including filtering, noise reduction, feature extraction, and handling various image formats.\nHands-on experience productionizing models, including experience optimizing for inference speed, containerization (e.g., Docker), and with cloud deployment platforms (e.g., AWS, Azure, GCP).\nProven track record with 2D/3D imaging analysis: reconstruction segmentation, detection, and volumetric modeling.\nProficiency in Python and C++, with strong understanding of high-performance computing and GPU acceleration.\nExperience with biometric recognition algorithms and predictive analytics pipelines.\nPreferred Qualifications:\nExperience with X-ray CT reconstruction algorithms, 3D-point cloud analysis and multimodal data fusion.\nExperience with GPU-based infrastructure and performance optimization\nExperience with MLOps principles and tools for automated model training, testing, deployment and monitoring.\nKnowledge of specific computer vision application areas such as robotics, augmented reality (AR), or industrial inspection.\nFamiliarity with a variety of camera technologies and sensor data acquisition\n\nClearance Requirements:\nMust be a U.S. Citizen and be able to obtain and maintain a CBP (Customs and Border Protection) suitability prior to starting.\n\nPhysical Requirements:\nThe person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.","company":"ManTech","rawCompany":"mantech","city":"Ashburn","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:49:03.003Z","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":"Senior Machine Learning Engineer","description":"MANTECH seeks a motivated, career and customer-oriented Senior Machine Learning Engineer with a specialization in Computer Vision to join our Data and AI Practice. This is currently a hybrid position with two days onsite in Ashburn, VA and three days remote.\nIn this role, you will collaborate with a cross-functional team to integrate vision systems into final products to deliver mission impact. The ideal candidate will have deep expertise and experience in computer vision, a strong grasp of machine learning tools and frameworks, and a pragmatic, customer-centric approach to applying ML models to solve complex problems.\nEach day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to aid officers in detecting threats while promoting efficient trade and travel.\n\nResponsibilities include but are not limited to:\nDesign, develop, and implement highly efficient computer vision algorithms and software primarily using Python and relevant libraries (e.g., OpenCV, NumPy, scikit-image).\nApply deep learning techniques (e.g., CNNs, RNNs, Transformers) for object detection, segmentation, tracking, and recognition using frameworks like TensorFlow or PyTorch.\nPerform comprehensive image preprocessing and augmentation on large datasets of both 2D (standard images/video/X-rays) and 3D (e.g., volumetric) data.\nDevelop and optimize biometric recognition systems (face, iris, fingerprint). Integrate biometric recognition with predictive modeling pipelines for risk scoring and anomaly detection.\nLead the integration and deployment of trained models into production environments (e.g., cloud, edge devices) using MLOps best practices\nDevelop and optimize models and inference pipelines for real-time inference, and efficiently handle large-scale data processing\nResearch, evaluate, and benchmark new computer vision technologies and academic advancements to maintain a competitive edge. Collaborate with cross-functional teams (e.g., Software Engineering, Data Science) to integrate vision systems into final products.\nMinimum Qualifications:\nHS Diploma/GED and 15-20 years of experience, AS/AA and 13-18 years, BS/BA and 7+ years or MS/MA/MBA and 5+ years or PhD/Doctorate and 3+ years.\nExpertise in using deep learning frameworks (PyTorch, TensorFlow, Keras) and computer vision libraries (OpenCV, SimpleITK, ITKm VTK).\nDemonstrated ability in image preprocessing techniques, including filtering, noise reduction, feature extraction, and handling various image formats.\nHands-on experience productionizing models, including experience optimizing for inference speed, containerization (e.g., Docker), and with cloud deployment platforms (e.g., AWS, Azure, GCP).\nProven track record with 2D/3D imaging analysis: reconstruction segmentation, detection, and volumetric modeling.\nProficiency in Python and C++, with strong understanding of high-performance computing and GPU acceleration.\nExperience with biometric recognition algorithms and predictive analytics pipelines.\nPreferred Qualifications:\nExperience with X-ray CT reconstruction algorithms, 3D-point cloud analysis and multimodal data fusion.\nExperience with GPU-based infrastructure and performance optimization\nExperience with MLOps principles and tools for automated model training, testing, deployment and monitoring.\nKnowledge of specific computer vision application areas such as robotics, augmented reality (AR), or industrial inspection.\nFamiliarity with a variety of camera technologies and sensor data acquisition\n\nClearance Requirements:\nMust be a U.S. Citizen and be able to obtain and maintain a CBP (Customs and Border Protection) suitability prior to starting.\n\nPhysical Requirements:\nThe person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.","datePosted":"2026-04-14T10:49:03.003Z","dateModified":"2026-04-14T10:49:03.003Z","hiringOrganization":{"@type":"Organization","name":"ManTech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ashburn","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"019eb6f97b87ca64692c99de"},"url":"https://jobsearcher.com/jobs/019eb6f97b87ca64692c99de"}}