{"schemaVersion":"jobsearcher.job.v1","id":"cb367fd1ec9ad9b0c8435706","url":"https://jobsearcher.com/jobs/cb367fd1ec9ad9b0c8435706","canonicalUrl":"https://jobsearcher.com/jobs/cb367fd1ec9ad9b0c8435706","title":"Supervisor Machine Learning Engineer","description":"General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.\n\nDUTIES AND RESPONSIBILITIES:\n\nThis is a Supervisory role.\nDesign, implement, and solve autonomy problems via complex, data-driven decision-making paradigms including reinforcement learning (RL), multi-agent reinforcement learning (MARL), world models, large language models (LLMs), and stochastic control systems.\nTranslate algorithms and technical specifications into production-quality ML code, following software engineering best practices. Maintain and deploy trained models and training pipelines.\nCompletes programming and implements efficiencies, performs testing, validation, and debugging.\nWorks with multi-functional teams to deploy and utilize autonomy stack.\nAnalyze, assess, quantify, communicate, and develop methods to improve model performance. Collaborate across diverse teams of subject matter experts to evaluate model behavior.\nLead technical teams and scope challenging projects into executable sprints.\nDrive code reviews to help team adhere to general DevSecOps and MLOps best practices.\nHave a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution.\nAdapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.\nMaintains the strict confidentiality of sensitive information.\nPerforms other duties as assigned.\nResponsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company.\nExpected to work in a safe manner in accordance with established operating procedures and practices.\nWe recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.\n\nJob Qualifications\n\nTypically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. May substitute equivalent machine learning engineer experience in lieu of education.\nMust have an advanced understanding of machine learning concepts, principles, and theory. Experience building neural network architectures, constructing training and evaluation pipelines, debugging and improving model behavior, developing metrics, continuous model learning and improvement.\nApplied experience in one or more of the following areas: reinforcement learning, imitation learning, large language models, world models, robotics, autonomous systems, control systems\nExperience with Python, C++, Docker, Pytorch, Tensorflow, Gym, Pettingzoo, AFSIM, SQL\nDemonstrates the ability to follow and apply advanced machine learning knowledge, adapt cutting edge standard techniques, and utilize the required diagnostics, tools and equipment, while ensuring safety and regulatory compliance.\nMust be able to understand new concepts quickly and apply them accurately throughout an evolving environment.\nStrong communication, computer, and interpersonal skills are required to enable an effective interface with other professionals, to produce appropriate documentation, and to present results to a limited internal audience.\nMust be able to work both independently and on a team.\nMust have a demonstrated history of applying novel technical solutions in fast evolving product areas.\nAble to work extended hours as required.\nAbility to obtain and maintain a DoD security clearance is required\n\nJob Category\n\nEngineering\n\nExperience Level\n\nSupervisory\n\nWorkstyle\n\nHybrid\n\nFull-Time/Part-Time\n\nFull-Time Salary\n\nPay Range Low\n\n118,500\n\nPay Range High\n\n207,750\n\nTravel Percentage Required\n\n0% - 25%\n\nRelocation Assistance Provided?\n\nNo\n\nUS Citizenship Required?\n\nYes\n\nClearance Required?\n\nDesired\n\nClearance Level\n\nSecret\n\nSearch Jobs at | General Atomics and Affiliated Companies","company":"Generalatomic","rawCompany":"generalatomic","city":"Poway","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-31T08:55:50.871Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"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"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"334511","title":"Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing","slug":"search-detection-navigation-guidance-aeronautical-and-nautical-system-and-instrument-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Supervisor Machine Learning Engineer","description":"General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.\n\nDUTIES AND RESPONSIBILITIES:\n\nThis is a Supervisory role.\nDesign, implement, and solve autonomy problems via complex, data-driven decision-making paradigms including reinforcement learning (RL), multi-agent reinforcement learning (MARL), world models, large language models (LLMs), and stochastic control systems.\nTranslate algorithms and technical specifications into production-quality ML code, following software engineering best practices. Maintain and deploy trained models and training pipelines.\nCompletes programming and implements efficiencies, performs testing, validation, and debugging.\nWorks with multi-functional teams to deploy and utilize autonomy stack.\nAnalyze, assess, quantify, communicate, and develop methods to improve model performance. Collaborate across diverse teams of subject matter experts to evaluate model behavior.\nLead technical teams and scope challenging projects into executable sprints.\nDrive code reviews to help team adhere to general DevSecOps and MLOps best practices.\nHave a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution.\nAdapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.\nMaintains the strict confidentiality of sensitive information.\nPerforms other duties as assigned.\nResponsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company.\nExpected to work in a safe manner in accordance with established operating procedures and practices.\nWe recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.\n\nJob Qualifications\n\nTypically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. May substitute equivalent machine learning engineer experience in lieu of education.\nMust have an advanced understanding of machine learning concepts, principles, and theory. Experience building neural network architectures, constructing training and evaluation pipelines, debugging and improving model behavior, developing metrics, continuous model learning and improvement.\nApplied experience in one or more of the following areas: reinforcement learning, imitation learning, large language models, world models, robotics, autonomous systems, control systems\nExperience with Python, C++, Docker, Pytorch, Tensorflow, Gym, Pettingzoo, AFSIM, SQL\nDemonstrates the ability to follow and apply advanced machine learning knowledge, adapt cutting edge standard techniques, and utilize the required diagnostics, tools and equipment, while ensuring safety and regulatory compliance.\nMust be able to understand new concepts quickly and apply them accurately throughout an evolving environment.\nStrong communication, computer, and interpersonal skills are required to enable an effective interface with other professionals, to produce appropriate documentation, and to present results to a limited internal audience.\nMust be able to work both independently and on a team.\nMust have a demonstrated history of applying novel technical solutions in fast evolving product areas.\nAble to work extended hours as required.\nAbility to obtain and maintain a DoD security clearance is required\n\nJob Category\n\nEngineering\n\nExperience Level\n\nSupervisory\n\nWorkstyle\n\nHybrid\n\nFull-Time/Part-Time\n\nFull-Time Salary\n\nPay Range Low\n\n118,500\n\nPay Range High\n\n207,750\n\nTravel Percentage Required\n\n0% - 25%\n\nRelocation Assistance Provided?\n\nNo\n\nUS Citizenship Required?\n\nYes\n\nClearance Required?\n\nDesired\n\nClearance Level\n\nSecret\n\nSearch Jobs at | General Atomics and Affiliated Companies","datePosted":"2026-10-31T08:55:50.871Z","dateModified":"2026-10-31T08:55:50.871Z","hiringOrganization":{"@type":"Organization","name":"Generalatomic","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Poway","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cb367fd1ec9ad9b0c8435706"},"url":"https://jobsearcher.com/jobs/cb367fd1ec9ad9b0c8435706"}}