{"schemaVersion":"jobsearcher.job.v1","id":"2bfa3e7fbc2cf1bd7bc6b3ff","url":"https://jobsearcher.com/jobs/2bfa3e7fbc2cf1bd7bc6b3ff","canonicalUrl":"https://jobsearcher.com/jobs/2bfa3e7fbc2cf1bd7bc6b3ff","title":"Machine Learning Engineer (II-III), Space Edge Deployment","description":"Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.\n\nOUR MISSION\n\nTrue Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.\n\nOUR VALUES\n\nBe the offset. We create asymmetric advantages with creativity and ingenuity.\nWhat would it take? We challenge assumptions to deliver ambitious results.\nIt’s the people. Our team is our competitive advantage and we are better together.\n\nYOUR MISSION\n\nAs a member of the Applied Algorithms and Autonomy team, you will contribute to the design and development of machine learning and AI capabilities for True Anomaly. Working alongside experienced engineers, you will support the development of models and pipelines that enable object classification, anomaly detection, and data-driven decision-making. You are curious, driven, and eager to grow — someone who takes ownership of their work and isn't afraid to tackle hard problems.\n\nRESPONSIBILITIES\n\nAssist in the development, training, and evaluation of ML models across a range of mission-relevant tasks\nSupport data ingestion, preprocessing, and feature engineering pipelines\nRun experiments, track results, and contribute to model evaluation and iteration\nWrite clean, documented, and testable Python code as part of a collaborative engineering team\nLearn and grow alongside senior engineers, contributing meaningfully from day one\n\nQUALIFICATIONS\n\nBachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline, plus 2-4 years of experience; or a Master's degree in one of these fields with no experience required.\nProficiency in Python\nFoundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation\nExposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects\nStrong mathematical fundamentals in linear algebra, statistics, and probability\nEagerness to learn, take feedback, and grow in a fast-paced, mission-driven environment\nPassion for spaceflight and advancing capabilities related to space domain awareness and space security\n\nPREFERRED SKILLS AND EXPERIENCE\n\nInternship, research, or project experience applying ML to real-world or research datasets\nFamiliarity with classification, regression, clustering, or anomaly detection techniques\nExperience with version control (Git) and basic software engineering practices\nExposure to MLOps concepts such as experiment tracking or model versioning\nCoursework or project work in deep learning, computer vision, or time-series analysis\n\nCOMPENSATION\n\nBase Salary: $125,000 - $220,000\nEquity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave\n\nYour actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.\n\nADDITIONAL REQUIREMENTS\n\nWork Location— this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.\nWork environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.\nPhysical demands—the physical demands of the job, including bending, sitting, lifting and driving.\n\nThis position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite\n\nTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.\n\nTrue Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.","company":"True Anomaly","rawCompany":"true anomaly","city":"Long Beach","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-11T09:15:45.625Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2011.00","title":"Aerospace Engineers","slug":"aerospace-engineers"}],"industries":[{"code":"927110","title":"Space Research and Technology","slug":"space-research-and-technology"},{"code":"336414","title":"Guided Missile and Space Vehicle Manufacturing","slug":"guided-missile-and-space-vehicle-manufacturing"},{"code":"336419","title":"Other Guided Missile and Space Vehicle Parts and Auxiliary Equipment Manufacturing","slug":"other-guided-missile-and-space-vehicle-parts-and-auxiliary-equipment-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer (II-III), Space Edge Deployment","description":"Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.\n\nOUR MISSION\n\nTrue Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.\n\nOUR VALUES\n\nBe the offset. We create asymmetric advantages with creativity and ingenuity.\nWhat would it take? We challenge assumptions to deliver ambitious results.\nIt’s the people. Our team is our competitive advantage and we are better together.\n\nYOUR MISSION\n\nAs a member of the Applied Algorithms and Autonomy team, you will contribute to the design and development of machine learning and AI capabilities for True Anomaly. Working alongside experienced engineers, you will support the development of models and pipelines that enable object classification, anomaly detection, and data-driven decision-making. You are curious, driven, and eager to grow — someone who takes ownership of their work and isn't afraid to tackle hard problems.\n\nRESPONSIBILITIES\n\nAssist in the development, training, and evaluation of ML models across a range of mission-relevant tasks\nSupport data ingestion, preprocessing, and feature engineering pipelines\nRun experiments, track results, and contribute to model evaluation and iteration\nWrite clean, documented, and testable Python code as part of a collaborative engineering team\nLearn and grow alongside senior engineers, contributing meaningfully from day one\n\nQUALIFICATIONS\n\nBachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline, plus 2-4 years of experience; or a Master's degree in one of these fields with no experience required.\nProficiency in Python\nFoundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation\nExposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects\nStrong mathematical fundamentals in linear algebra, statistics, and probability\nEagerness to learn, take feedback, and grow in a fast-paced, mission-driven environment\nPassion for spaceflight and advancing capabilities related to space domain awareness and space security\n\nPREFERRED SKILLS AND EXPERIENCE\n\nInternship, research, or project experience applying ML to real-world or research datasets\nFamiliarity with classification, regression, clustering, or anomaly detection techniques\nExperience with version control (Git) and basic software engineering practices\nExposure to MLOps concepts such as experiment tracking or model versioning\nCoursework or project work in deep learning, computer vision, or time-series analysis\n\nCOMPENSATION\n\nBase Salary: $125,000 - $220,000\nEquity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave\n\nYour actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.\n\nADDITIONAL REQUIREMENTS\n\nWork Location— this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.\nWork environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.\nPhysical demands—the physical demands of the job, including bending, sitting, lifting and driving.\n\nThis position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite\n\nTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.\n\nTrue Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.","datePosted":"2026-09-11T09:15:45.625Z","dateModified":"2026-09-11T09:15:45.625Z","hiringOrganization":{"@type":"Organization","name":"True Anomaly","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Long Beach","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2bfa3e7fbc2cf1bd7bc6b3ff"},"url":"https://jobsearcher.com/jobs/2bfa3e7fbc2cf1bd7bc6b3ff"}}