{"id":954687,"url":"https://alion.io/job/analog-devices-aiml-engineer-intern","title":"AI/ML Engineer Intern","company":{"id":58431,"name":"Analog Devices","domain":"analog.com","url":"https://alion.io/company/analog-devices","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":46,"ghost_share":0,"stale_share":0.804,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Wilmington, United States","San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Edge AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"C++","optional":true},{"name":"CUDA","optional":true}],"status":"live","first_seen_at":"2026-09-16T04:11:39Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-11-05T00:00:08Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally?\nAbout Analog Devices\nAnalog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.\nAt ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network.\nADI’s culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees.\nAt ADI, our goal is to develop our interns so they are the first to be considered for full-time roles.\nApply now for the opportunity to grow your career and help innovate ahead of what’s possible.\nAbout the Role\nThe AI/ML Engineer Intern role provides students with the opportunity to apply machine learning and artificial intelligence concepts to real-world engineering challenges. Working alongside experienced engineers and researchers, you will contribute to the development, evaluation, and optimization of AI/ML solutions while gaining hands-on experience with modern tools, frameworks, and technologies.\nKey Responsibilities\nAssist in developing, training, and evaluating machine learning and deep learning models. \nSupport data preparation, analysis, and model performance assessment activities. \nContribute to AI/ML research, experimentation, and proof-of-concept projects. \nHelp optimize and deploy machine learning models for efficiency and scalability. \nCollaborate with cross-functional teams to develop AI-driven solutions. \nDocument technical findings, methodologies, and project outcomes. \nMust-Have Skills\nKnowledge of machine learning and deep learning fundamentals. \nProficiency in Python programming. \nFamiliarity with machine learning frameworks such as PyTorch or TensorFlow. \nUnderstanding of data structures, algorithms, and software development principles. \nStrong analytical, problem-solving, and communication skills. \nPreferred Education and Experience\nCurrently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Artificial Intelligence, or a related field. \nAcademic, research, or project experience involving AI, machine learning, deep learning, or data analytics. \nExposure to model optimization, edge AI, computer vision, signal processing, or related technologies is a plus. \nFamiliarity with tools such as PyTorch, TensorFlow, CUDA, C/C++, or similar development frameworks. \nFor positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.\nAnalog Devices is an equal opportunity employer. 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