{"id":1770795,"url":"https://alion.io/job/aerovironment-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":176366,"name":"AeroVironment","domain":"avinc.com","url":"https://alion.io/company/aerovironment","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":39,"ghost_share":0,"stale_share":0.897,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Centreville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":102000,"max":155500,"currency":"USD","period":"year","gross":null,"usd_annual":155500},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorRT","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-18T01:24:46Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Worker Type\nRegularJob Description\nNOTE: to qualify for this role, you must be a U.S. Citizen\nSummary\nThe Machine Learning Engineer will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and support the development of a variety of innovative computer vision capabilities (object detection, classification, localization, and tracking) and other image/video analytics for defense and commercial applications. These development efforts require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including but not limited to data management, computer vision, machine learning, optimization, and deep convolutional neural networks. This position will span multiple stages of the development process including requirements gathering, algorithm design, prototyping, test and evaluation, and validation and verification testing. This specific role also involves on-site support for experimentation and fielded systems requiring a significant amount of extended travel, both domestic and international.\nPosition Responsibilities\nSupport development of computer vision and machine learning (ML) algorithms capable of object detection, classifying, localizing, and tracking objects of interest from a variety of stationary and mobile sensor platforms with the primary purpose of real-time automated target recognition (ATR)\nPerform visual imagery data science to inform data collection, data labeling, and data selection for training deep computer vision ML algorithms, train the algorithms using the data, and validate data selection and algorithm design through a series of purpose-designed experiments. This includes:\nAnalyze ML algorithms to solve a given problem and rank them by their success probability on new data\nSet objectives and develop models that help achieve them, along with metrics to track their progress\nSelect appropriate datasets and data representations\nAnalyze errors of the data, model, and design strategies to overcome them\nWrite and test software to support the integration of machine learning algorithms into aircraft (such as autopilots, payloads, or other functional components) or other systems\nOther duties as assigned\nBasic Qualifications (Required Skills & Experience)\nBS in any of the following fields: Computer Science/Engineering, Mathematics, Physics, or related Science or Engineering discipline with 2+ years of relevant experience in machine learning and/or computer vision.\n2 - 5 years of relevant computer vision experience\nFamiliarity with Python and C/C++ required\nProficiency with a deep learning framework, preferably PyTorch\nProficiency with basic libraries for machine learning such as, Open-CV, scikit-learn, and pandas\nFamiliarity with Linux\nFamiliarity with Nvidia Tools (CUDA, JetPack, TensorRT) and deployment process to Nvidia GPUs\nDemonstrated ability to troubleshoot complex systems and perform algorithmic optimization\nAbility to perform exploratory data analysis, including visualizing and manipulating large datasets\nOther Qualifications & Desired Competencies\nFamiliarity with office software and computer-based productivity tools\nAbility to work within defined requirements to complete tasks under moderate supervision\nMust be a team player and collaborate effectively\nExcellent verbal and written skills\nHas effective problem-solving, analytical and interpersonal skills\nAbility to work within defined requirements to complete tasks under moderate supervision\nAble to excel in a fast-paced, deadline-driven environment, where small teams share a broad variety of duties\nDisplays strong initiative and drive to accomplish goals and meet company objectives\nTakes ownership and responsibility for current and past work products, and demonstrates a willingness to share the results with other team members and provide feedback and input to teammates working similar problems.\nIs committed to learning from mistakes and driven to improve and enhance performance of oneself, others, and the company\nFamiliarity with office software and computer-based productivity tools\nPhysical Demands\nAbility to work in an office environment (Constant)\nRequired to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer keyboard (Frequent)\nSpecial Requirements\nU.S. Citizenship required\nActive Secret level (or higher) DoD security clearance\nWillingness and ability to travel CONUS and OCONUS (Occasionally / up to 25%)\nLocation: Centreville, VA or Minneapolis, MN\nClearance Level\nNo ClearanceThe salary range for this role is:\n$102,000 - $155,500AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills.\nITAR Requirement:\nThis position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment’s determination that it will be able to obtain an export license in a time frame consistent with AeroVironment’s business requirements. A “U.S. person” according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements.\nBenefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: http://www.avinc.com/myavbenefits.\nWe also encourage you to review our company website at http://www.avinc.com to learn more about us.\nPrincipals only need apply. NO agencies please.\nAbout AV:\nAV isn’t for everyone. We hire the curious, the relentless, the mission-obsessed. The best of the best.\nWe don’t just build defense technology-we redefine what’s possible. As the premier autonomous systems company in the U.S., AV delivers breakthrough capabilities across air, land, sea, space, and cyber. From AI-powered drones and loitering munitions to integrated autonomy and space resilience, our technologies shape the future of warfare and protect those who serve.\nFounded by legendary innovator Dr. Paul MacCready, AV has spent over 50 years pushing the boundaries of what unmanned systems can do. Our heritage includes seven platforms in the Smithsonian-but we’re not building history, we’re building what’s next.\nIf you're ready to build technology that matters-with speed, scale, and purpose-there’s no better place to do it than AV.\nWe are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status.\nITAR\nU.S. Citizenship is required. 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