{"id":334994,"url":"https://alion.io/job/advancedspace-2027-machine-learning-summer-internship","title":"2027 Machine Learning Summer Internship","company":{"id":7135,"name":"Advanced Space","domain":"advancedspace.com","url":"https://alion.io/company/advancedspace","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Westminster, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":28,"max":37,"currency":"USD","period":"hour","gross":null,"usd_annual":74000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"C++","optional":true},{"name":"Computer Vision","optional":true},{"name":"CUDA","optional":true}],"status":"live","first_seen_at":"2026-08-24T20:22:30Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-25T14:55:41Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"Advanced Space | 2027 Summer Internship | Onsite \nWe’re going to the Moon. Think you’ve got what it takes? \nAbout the Role \nAt Advanced Space, we're enabling humanity's return to the Moon and building the technologies that will take us to Mars and beyond. We're looking for a 2027 Machine Learning Summer Intern to join our team and help push the state of the art in aerospace applications.\nAs a Machine Learning Intern, you'll work alongside experienced technical staff who will provide mentorship and guidance throughout your internship. You'll gain hands-on experience designing, developing, testing, and applying machine learning models to solve complex engineering challenges supporting the future of space exploration.\nThis internship is ideal for students passionate about artificial intelligence, machine learning, aerospace applications, and applied research. You'll have the opportunity to work on meaningful projects while collaborating with engineers and researchers developing innovative solutions for real space missions.\nAbout Advanced Space \nAdvanced Space exists to enable the sustainable exploration, development, and settlement of space through innovative software, mission services, and technology solutions. As the owner and operator of NASA's CAPSTONE™ mission and the Prime Contractor for AFRL's Oracle mission, we're helping shape the future of cislunar exploration while supporting commercial, civil, and national security customers. \nOur team combines deep technical expertise with an entrepreneurial mindset. We move quickly, collaborate across disciplines, and empower every engineer to make meaningful contributions. If you're passionate about solving challenging problems and seeing your work fly in space, you'll fit right in. \nWhat You'll Actually Do \nDevelop machine learning solutions for aerospace applications.\nResearch, implement, and evaluate state-of-the-art machine learning algorithms and techniques to solve challenging engineering problems.\nBuild and test ML models.\nDesign, develop, and improve machine learning models and systems supporting applications such as:\nSpacecraft autonomy\nAnomaly detection\nNatural language processing\nUncertainty quantification\nMultimodal signal detection\nAnalyze data and optimize performance.\nPerform data preprocessing, feature engineering, model evaluation, and optimization to improve the performance, scalability, and reliability of ML solutions.\nCollaborate with engineering teams.\nWork alongside aerospace and software engineers to integrate machine learning solutions into mission-focused applications.\nShare your research and findings.\nDocument technical work and present project results through reports, presentations, and discussions with the technical team.\nWho Thrives Here \nYou are currently pursuing a degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.\nYou have experience programming in Python and working with data processing libraries such as Pandas, NumPy, or Scikit-learn.\nYou have experience with machine learning frameworks such as TensorFlow or PyTorch.\nYou understand foundational machine learning concepts, including supervised and unsupervised learning, classification, regression, clustering, and dimensionality reduction.\nYou are familiar with software development best practices, including Git version control.\nYou enjoy solving complex technical problems and conducting applied research.\nYou communicate technical concepts clearly and collaborate effectively with teammates.\nBonus Points if You Have Experience With\nCUDA C/C++ or GPU computing\nHigh-performance or scientific computing\nNatural language processing\nComputer vision\nAerospace engineering concepts such as nonlinear estimation, optimization, or control theory\nMachine learning applied to engineering or scientific problems\nSuccess is Measured By \nDeveloping and evaluating machine learning solutions for real aerospace challenges.\nApplying ML techniques to meaningful mission-focused projects.\nCollaborating effectively with engineers and technical staff.\nCommunicating research findings clearly through documentation and presentations.\nBuilding technical skills through mentorship and hands-on experience.\nWhy Join Advanced Space \nGain hands-on experience applying machine learning to real space missions.\nWork alongside engineers and researchers solving complex aerospace challenges.\nContribute to innovative projects supporting missions to the Moon and beyond.\nReceive mentorship and guidance from experienced technical staff.\nBe part of a growing company where your contributions directly support mission success.\nCompensation & Benefits \nCompetitive internship compensation: $28-$37/hour\nHousing stipend\nMentorship and guidance from technical staff\nOpportunities to contribute to research projects directly tied to active space missions\nCollaborative work environment at our Westminster, Colorado headquarters\nAdvanced Space is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees. 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