{"schemaVersion":"jobsearcher.job.v1","id":"7eed4b643eb841c4396bc86a","url":"https://jobsearcher.com/jobs/7eed4b643eb841c4396bc86a","canonicalUrl":"https://jobsearcher.com/jobs/7eed4b643eb841c4396bc86a","title":"Artificial Intelligence/Machine Learning (AI/ML) Engineer","description":"Location Arlington\r\nEmployment Type Full time\r\nLocation Type Hybrid\r\nDepartment Engineering\r\nCompensation $140K – $200K • Offers Equity\r\nAI/ML Engineer\r\nThe defense market is surging, but the data that drives it hasn't kept up. Companies, government, and investors are forced to perform heavily manual processes and piece together hundreds of disparate sources to make decisions. Obviant is building a data source of truth and AI tools for defense acquisition to solve this. We fuse information from thousands of sources – structured + unstructured – to provide a cohesive picture of budget, programs, the organizations running them, and much more. Whether it's a company navigating GTM or a program manager developing capabilities, we're providing all sides with the intelligence they need to execute effectively.\r\nWe're growing fast and backed by top funds and DoD/national security veterans.\r\nWe believe that public sector mission sets matter above anything else. If you feel the same way, we'd love for you to join us.\r\nThe Impact\r\nYou\\'ll be pioneering machine learning solutions that are transforming how the defense sector processes and understands complex data. As a Machine Learning Scientist, you\\'ll leverage large-scale, real-time data to develop and deploy production-grade ML models that power critical product features. You\\'ll be involved in the end-to-end ML lifecycle, from research and experimentation to deployment and monitoring, while collaborating closely with data engineers and domain experts. Your work will drive tangible product improvements through innovative ML solutions, with opportunities to push the boundaries of model performance and discover novel approaches to complex challenges.\r\nResponsibilities\r\nYou\\'ll design and implement models tackling complex, domain-specific challenges in taxonomy extraction/generation, entity resolution, and pattern recognition\r\nDevelop multi-class classification systems\r\nKnowledge graph construction and analysis\r\nWork on Natural Language Processing and semantic understanding problems such as topic modeling\r\nTackle document clustering, classification, and summarization problems\r\nBuild and optimize robust data pipelines that process mission-critical information at scale\r\nQualifications\r\n5+ years of experience building and deploying ML models in production environments\r\nStrong background in machine learning and deep learning methodologies\r\nDemonstrated experience in applied research and development\r\nTrack record of turning complex requirements into elegant, scalable solutions\r\nExperience with NLP, semantic retrieval, or large language models\r\nGovernment, govtech, or defense experience is welcome but not required\r\nExperience working with large-scale datasets and complex data pipelines\r\nStrong programming skills in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)\r\nComfortable with the pace and impact of a fast-growing startup\r\nOur Working Style – Why We Might Work Well Together\r\nYou care about government and are mission-oriented\r\nPerseverance and endurance\r\nEmpowerment > micro-management\r\nWe\\'re collaborative and communicate well\r\nYou\\'re really good at what you do… but it speaks for itself\r\nYou don't mind change and are comfortable with uncertainty\r\nWork doesn\\'t feel like \"work\" to you\r\nYou like to move fast and have a bias towards action\r\nIntegrity is never negotiable\r\nBenefits & Structure\r\nWe're a tight-knit team headquartered in Arlington, VA. We work in the office together most days, and believe being in the same place is a competitive advantage.\r\nFlexible schedule - We all have other things going on in our lives. Doctor visits, kids' activities, dog walks - take care of it whenever you have to. And work from home when you need to.\r\nCompetitive compensation + Sizeable equity - We're building something with massive upside potential, and you'll have ownership in that. This is ours.\r\nFlexible vacation time - Use what you want, as long as you're taking care of what needs to get done.\r\nFull health, dental, and vision insurance.\r\nAnd more…\r\nCompensation Range: $140K - $200K\r\nJ-18808-Ljbffr","company":"Obviant","rawCompany":"obviant","city":"Arlington","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-06-25T01:21:34.259Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Artificial Intelligence/Machine Learning (AI/ML) Engineer","description":"Location Arlington\r\nEmployment Type Full time\r\nLocation Type Hybrid\r\nDepartment Engineering\r\nCompensation $140K – $200K • Offers Equity\r\nAI/ML Engineer\r\nThe defense market is surging, but the data that drives it hasn't kept up. Companies, government, and investors are forced to perform heavily manual processes and piece together hundreds of disparate sources to make decisions. Obviant is building a data source of truth and AI tools for defense acquisition to solve this. We fuse information from thousands of sources – structured + unstructured – to provide a cohesive picture of budget, programs, the organizations running them, and much more. Whether it's a company navigating GTM or a program manager developing capabilities, we're providing all sides with the intelligence they need to execute effectively.\r\nWe're growing fast and backed by top funds and DoD/national security veterans.\r\nWe believe that public sector mission sets matter above anything else. If you feel the same way, we'd love for you to join us.\r\nThe Impact\r\nYou\\'ll be pioneering machine learning solutions that are transforming how the defense sector processes and understands complex data. As a Machine Learning Scientist, you\\'ll leverage large-scale, real-time data to develop and deploy production-grade ML models that power critical product features. You\\'ll be involved in the end-to-end ML lifecycle, from research and experimentation to deployment and monitoring, while collaborating closely with data engineers and domain experts. Your work will drive tangible product improvements through innovative ML solutions, with opportunities to push the boundaries of model performance and discover novel approaches to complex challenges.\r\nResponsibilities\r\nYou\\'ll design and implement models tackling complex, domain-specific challenges in taxonomy extraction/generation, entity resolution, and pattern recognition\r\nDevelop multi-class classification systems\r\nKnowledge graph construction and analysis\r\nWork on Natural Language Processing and semantic understanding problems such as topic modeling\r\nTackle document clustering, classification, and summarization problems\r\nBuild and optimize robust data pipelines that process mission-critical information at scale\r\nQualifications\r\n5+ years of experience building and deploying ML models in production environments\r\nStrong background in machine learning and deep learning methodologies\r\nDemonstrated experience in applied research and development\r\nTrack record of turning complex requirements into elegant, scalable solutions\r\nExperience with NLP, semantic retrieval, or large language models\r\nGovernment, govtech, or defense experience is welcome but not required\r\nExperience working with large-scale datasets and complex data pipelines\r\nStrong programming skills in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)\r\nComfortable with the pace and impact of a fast-growing startup\r\nOur Working Style – Why We Might Work Well Together\r\nYou care about government and are mission-oriented\r\nPerseverance and endurance\r\nEmpowerment > micro-management\r\nWe\\'re collaborative and communicate well\r\nYou\\'re really good at what you do… but it speaks for itself\r\nYou don't mind change and are comfortable with uncertainty\r\nWork doesn\\'t feel like \"work\" to you\r\nYou like to move fast and have a bias towards action\r\nIntegrity is never negotiable\r\nBenefits & Structure\r\nWe're a tight-knit team headquartered in Arlington, VA. We work in the office together most days, and believe being in the same place is a competitive advantage.\r\nFlexible schedule - We all have other things going on in our lives. Doctor visits, kids' activities, dog walks - take care of it whenever you have to. And work from home when you need to.\r\nCompetitive compensation + Sizeable equity - We're building something with massive upside potential, and you'll have ownership in that. This is ours.\r\nFlexible vacation time - Use what you want, as long as you're taking care of what needs to get done.\r\nFull health, dental, and vision insurance.\r\nAnd more…\r\nCompensation Range: $140K - $200K\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T01:21:34.259Z","dateModified":"2026-06-25T01:21:34.259Z","hiringOrganization":{"@type":"Organization","name":"Obviant","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arlington","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7eed4b643eb841c4396bc86a"},"url":"https://jobsearcher.com/jobs/7eed4b643eb841c4396bc86a"}}