{"schemaVersion":"jobsearcher.job.v1","id":"e7d8875ad7e964af39cca2c4","url":"https://jobsearcher.com/jobs/e7d8875ad7e964af39cca2c4","canonicalUrl":"https://jobsearcher.com/jobs/e7d8875ad7e964af39cca2c4","title":"Machine Learning / Full Stack Engineer – US Defense AI Program","description":"Machine Learning / Full Stack Engineer – US Defense AI Program\nLocation: Remote (USA) – Occasional Travel to San Diego, CA\nEmployment Type: Full-Time\nCompensation: Up to $180,000 Base Salary (No Benefits)\nSecurity Requirement: U.S. Citizenship Required | Active Secret Clearance Preferred (or Ability to Obtain)\nAbout the Opportunity\nBristol-AI is a leading technology company focused on transforming U.S. Navy maintenance and logistics operations through Artificial Intelligence, predictive analytics, forecasting, and advanced software platforms.\nWe are seeking a highly skilled Machine Learning / Full Stack Engineer to develop next-generation forecasting, optimization, simulation, and AI-powered decision-support systems that improve fleet readiness and maintenance execution for critical U.S. Navy programs.\nThis is an exciting opportunity to work on cutting-edge Defense AI initiatives supporting long-term Department of Defense modernization programs.\nKey Responsibilities\nDevelop forecasting, optimization, simulation, and predictive maintenance models using Python and modern machine learning frameworks.\nBuild production-ready AI solutions utilizing PyTorch, TensorFlow, Scikit-Learn, NumPy, and Pandas.\nDesign and implement workload forecasting, schedule-risk analysis, workload leveling, and uncertainty modeling solutions.\nDevelop Monte Carlo simulations, critical-path analysis tools, and resource optimization workflows.\nIntegrate vector databases, embeddings, semantic search, and Retrieval-Augmented Generation (RAG) capabilities.\nBuild and maintain backend services using FastAPI, PostgreSQL, Pydantic, and modern API architectures.\nCollaborate with Full Stack Engineers to deliver React/TypeScript-based dashboards and analytics platforms.\nDevelop AI-assisted workflows using CopilotKit, Pydantic AI, MCP integrations, AG-UI, and agentic frameworks.\nCreate automated testing, validation, monitoring, and deployment pipelines.\nSupport containerized deployments using Docker and Kubernetes, including secure and air-gapped environments.\nRequired Qualifications\nBachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Operations Research, or a related field.\nU.S. Citizen (mandatory).\nActive Secret Security Clearance preferred or ability to obtain one.\nStrong proficiency in Python 3, NumPy, Pandas, and machine learning development.\nHands-on experience with PyTorch, TensorFlow, or Scikit-Learn.\nExperience building production software beyond research notebooks.\nExperience with FastAPI, PostgreSQL, Pydantic, APIs, and backend development.\nAbility to translate complex operational requirements into practical AI and forecasting solutions.\nPreferred Qualifications\nPrior Department of Defense (DoD), Navy, Federal Government, or Military project experience.\nVeterans strongly encouraged to apply.\nExperience with predictive maintenance, logistics, fleet operations, or maintenance planning systems.\nKnowledge of Monte Carlo simulation, operations research, optimization, and scheduling algorithms.\nExperience with PostgreSQL, pgvector, vector databases, embeddings, and RAG architectures.\nFamiliarity with React, TypeScript, dashboards, and data visualization tools.\nExperience with Docker, Kubernetes, Helm, and secure deployment environments.\nExperience with observability, model monitoring, experiment tracking, and production AI systems.\nWhy Join Us?\nWork on mission-critical AI solutions supporting U.S. Navy modernization efforts.\nContribute to large-scale predictive maintenance and logistics management initiatives.\nCollaborate with experienced AI, software engineering, and defense technology professionals.\nOpportunity to help shape a rapidly growing Defense AI business.\nApplication Requirements\nTo be considered, applicants must:\nBe a U.S. Citizen.\nHold an Active Secret Security Clearance or be eligible to obtain one.\nHave experience in Machine Learning, Data Science, AI Engineering, or Full Stack Development.\nBe available for occasional travel to the San Diego, CA area when required.\nPriority Consideration: Veterans, candidates with prior DoD/Military experience, and candidates with active security clearances.\nPay: $150,000.00 - $180,000.00 per year\nBenefits:\nFlexible schedule\nApplication Question(s):\nAre you a U.S. Citizen? (Required)\nDo you currently hold an Active Secret Security Clearance?(Required)\nHave you worked on Department of Defense (DoD) or Military projects? (Required)\nHow many years of professional Machine Learning experience do you have?\nHow many years of Python development experience do you have?\nHave you deployed machine learning models into production environments?\nAre you willing to travel occasionally to the San Diego, CA area if required?\nWhat is your current salary? (Annually in USD)\nWhat is your expected salary? (Annually in USD)\nWhat is your notice period? (in days)\nWork Location: Remote","company":"Kt2i","rawCompany":"kt2i","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-07-27T13:25:08.101Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"928110","title":"National Security","slug":"national-security"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning / Full Stack Engineer – US Defense AI Program","description":"Machine Learning / Full Stack Engineer – US Defense AI Program\nLocation: Remote (USA) – Occasional Travel to San Diego, CA\nEmployment Type: Full-Time\nCompensation: Up to $180,000 Base Salary (No Benefits)\nSecurity Requirement: U.S. Citizenship Required | Active Secret Clearance Preferred (or Ability to Obtain)\nAbout the Opportunity\nBristol-AI is a leading technology company focused on transforming U.S. Navy maintenance and logistics operations through Artificial Intelligence, predictive analytics, forecasting, and advanced software platforms.\nWe are seeking a highly skilled Machine Learning / Full Stack Engineer to develop next-generation forecasting, optimization, simulation, and AI-powered decision-support systems that improve fleet readiness and maintenance execution for critical U.S. Navy programs.\nThis is an exciting opportunity to work on cutting-edge Defense AI initiatives supporting long-term Department of Defense modernization programs.\nKey Responsibilities\nDevelop forecasting, optimization, simulation, and predictive maintenance models using Python and modern machine learning frameworks.\nBuild production-ready AI solutions utilizing PyTorch, TensorFlow, Scikit-Learn, NumPy, and Pandas.\nDesign and implement workload forecasting, schedule-risk analysis, workload leveling, and uncertainty modeling solutions.\nDevelop Monte Carlo simulations, critical-path analysis tools, and resource optimization workflows.\nIntegrate vector databases, embeddings, semantic search, and Retrieval-Augmented Generation (RAG) capabilities.\nBuild and maintain backend services using FastAPI, PostgreSQL, Pydantic, and modern API architectures.\nCollaborate with Full Stack Engineers to deliver React/TypeScript-based dashboards and analytics platforms.\nDevelop AI-assisted workflows using CopilotKit, Pydantic AI, MCP integrations, AG-UI, and agentic frameworks.\nCreate automated testing, validation, monitoring, and deployment pipelines.\nSupport containerized deployments using Docker and Kubernetes, including secure and air-gapped environments.\nRequired Qualifications\nBachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Operations Research, or a related field.\nU.S. Citizen (mandatory).\nActive Secret Security Clearance preferred or ability to obtain one.\nStrong proficiency in Python 3, NumPy, Pandas, and machine learning development.\nHands-on experience with PyTorch, TensorFlow, or Scikit-Learn.\nExperience building production software beyond research notebooks.\nExperience with FastAPI, PostgreSQL, Pydantic, APIs, and backend development.\nAbility to translate complex operational requirements into practical AI and forecasting solutions.\nPreferred Qualifications\nPrior Department of Defense (DoD), Navy, Federal Government, or Military project experience.\nVeterans strongly encouraged to apply.\nExperience with predictive maintenance, logistics, fleet operations, or maintenance planning systems.\nKnowledge of Monte Carlo simulation, operations research, optimization, and scheduling algorithms.\nExperience with PostgreSQL, pgvector, vector databases, embeddings, and RAG architectures.\nFamiliarity with React, TypeScript, dashboards, and data visualization tools.\nExperience with Docker, Kubernetes, Helm, and secure deployment environments.\nExperience with observability, model monitoring, experiment tracking, and production AI systems.\nWhy Join Us?\nWork on mission-critical AI solutions supporting U.S. Navy modernization efforts.\nContribute to large-scale predictive maintenance and logistics management initiatives.\nCollaborate with experienced AI, software engineering, and defense technology professionals.\nOpportunity to help shape a rapidly growing Defense AI business.\nApplication Requirements\nTo be considered, applicants must:\nBe a U.S. Citizen.\nHold an Active Secret Security Clearance or be eligible to obtain one.\nHave experience in Machine Learning, Data Science, AI Engineering, or Full Stack Development.\nBe available for occasional travel to the San Diego, CA area when required.\nPriority Consideration: Veterans, candidates with prior DoD/Military experience, and candidates with active security clearances.\nPay: $150,000.00 - $180,000.00 per year\nBenefits:\nFlexible schedule\nApplication Question(s):\nAre you a U.S. Citizen? (Required)\nDo you currently hold an Active Secret Security Clearance?(Required)\nHave you worked on Department of Defense (DoD) or Military projects? (Required)\nHow many years of professional Machine Learning experience do you have?\nHow many years of Python development experience do you have?\nHave you deployed machine learning models into production environments?\nAre you willing to travel occasionally to the San Diego, CA area if required?\nWhat is your current salary? (Annually in USD)\nWhat is your expected salary? (Annually in USD)\nWhat is your notice period? (in days)\nWork Location: Remote","datePosted":"2026-07-27T13:25:08.101Z","dateModified":"2026-07-27T13:25:08.101Z","hiringOrganization":{"@type":"Organization","name":"Kt2i","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e7d8875ad7e964af39cca2c4"},"url":"https://jobsearcher.com/jobs/e7d8875ad7e964af39cca2c4"}}